Podcasts about HTML

Show DescriptionWe talk with Frederik Braun from Mozilla about the Sanitizer API, how it works with HTML tags and web components, what it does with malformed HTML, and where CSP fits in alongside the Sanitizer API. Listen on WebsiteWatch on YouTubeGuestsFrederik BraunGuest's Main URL • Guest's SocialSecurity engineer and manager working on the Mozilla Firefox web browser Links Frederik Braun: Why the Sanitizer API is just setHTML() Frederik Braun freddyb (Frederik B) SponsorsBluehostDo you ever feel like pre-configured hosting is slowing you down? That is where VPS hosting starts to make a lot more sense. With Bluehost VPS, you are not stuck inside someone else's environment. You get full control of the server. You can spin up Docker, deploy containerized apps, run workflows, and connect your CRM, databases, and APIs without weird restrictions. No shared bottlenecks. No artificial limits. If you want to actually own your stack, your data, your performance, your roadmap, VPS is the move.

I sit down with Cody Schneider, growth engineer and co-founder of Graph, for a live, hands-on crash course in GTM (go-to-market) engineering powered by Claude Code. Cody walks through how he runs multiple AI agents simultaneously to handle everything from bulk Facebook ad creation and LinkedIn outreach to cold email campaigns and live data analysis — tasks that used to require a team of dozens. By the end of the episode, you'll have a full understanding of how to set up your own agent workflow, the specific tools involved, and why domain expertise paired with AI is the real competitive advantage right now. Cody's GTM Toolkit: AI/Agent Tools: Claude Code, Perplexity API, OpenAI Codex Marketing & Outreach: Instantly AI (cold email), Phantom Buster (LinkedIn scraping/automation), Apollo API (data enrichment), Million Verifier (email verification), Raphonic (podcast host scraping): Advertising: Facebook Ads API, Facebook Ads Library (competitor research), Nano Banana Pro (AI image generation), Kai AI (bulk image generation), HeyGen API (UGC/video generation) Infrastructure & Deployment: Railway.com (servers, on-the-fly databases/Postgres), Vercel (deployment) Data & Analytics: Graphed / Graphed MCP (data warehouse, live data feeds), Google Analytics 4 CRM & Communication: Salesforce (mentioned as comparison), Intercom, SendGrid API, Slack, Cal.com API Productivity & Design: Notion, Super Whisper (voice transcription), Claude Code front-end design skill, HTML to Canvas (for converting React components to PNGs) Timestamps 00:00 – Intro 02:02 – What Is GTM Engineering? 05:12 – Setting Up Your Agent Workspace & Environment File 07:54 – Live Demo: LinkedIn Auto-Responder 09:56 – Live Demo: Bulk Facebook Ad Generator 12:31 – Live Demo: Cold Email Campaign Automation (Raphonic + Instantly) 14:47 – Live Demo: Creating Notion Documents via Claude Code 16:46 – Live Demo: Bulk Ad Creative Generator 26:05 – Live Demo: LinkedIn Engagement Scraper to Cold Email Pipeline 28:16 – Context Switching Across Tasks 29:19 – Live Demo: Bulk Ad Generator 31:41 – Live Demo: Data Analysis: Turning Off Low-Performing Ads 35:28 – Summary of GTM Engineering Workflow 37:48 – Deploying Agents and On-the-Fly Databases with Railway for Data Analysis 41:28 – The Dream of Autonomous Marketing 48:50 – Building API-First Products and Agent-Native Infrastructure Key Points GTM engineering has evolved from Clay-style data enrichment workflows into full-stack agent orchestration — where one person running multiple Claude Code agents can replace the output of a large team. The practical setup starts with a single folder containing your environment file (API keys for every tool in your stack), transcription software like Super Whisper, and Claude Code. Cody demonstrates running seven or more agents simultaneously across LinkedIn outreach, Facebook ad creation, cold email campaigns, Notion document generation, and live data dashboards. Code-generated ad creative (React components exported as PNGs) costs nearly nothing to produce at scale and allows rapid testing of messaging variations before investing in polished visuals. Deploying proven workflows to Railway turns one-off agent tasks into always-on, autonomous processes that run 24/7. Domain expertise is the real multiplier — the vocabulary you bring from your field determines the quality of output you can extract from these tools. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CODY ON SOCIAL: Cody's startup: https://www.graphed.com/ X/Twitter: https://x.com/codyschneiderxx Youtube: https://www.youtube.com/@codyschneiderx

Cameron Dutro returns to the show to introduce LiveComponent, a new library that adds client-side state and targeted re-rendering to Rails ViewComponent using Hotwire + Stimulus with minimal JavaScript. Chris, Andrew, and Cameron dig into why he built it, how it serializes component state and models, how updates flow from events to fast server-rendered HTML morphs, where it shines compared to plain Turbo/Stimulus, and how optional React support can help with migration and interoperability. Hit download now to hear more! LinksJudoscale- Remote Ruby listener giftCameron Dutro GitHubCameron Dutro XRemote Ruby-Episode 134: Kubernetes, JSX for Ruby, and more with Cameron DutroLiveComponentLiveComponent React IntegrationGlobal ID-RailsSNOO Smart Sleeper BassinetHoneybadgerHoneybadger is an application health monitoring tool built by developers for developers.JudoscaleMake your deployments bulletproof with autoscaling that just works.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you. Chris Oliver X/Twitter Andrew Mason X/Twitter Jason Charnes X/Twitter

 Feelgood Factor Podcast#3 - Dr Thomas Levy https://www.tomlevymd.com/index.html)The Only Cause of Disease – MedFox PublishingDom's Health Bunker Supplements www.shop.healthbunker.co.ukKIDS Liposomal Multi (120ml)  Strawberry Bubblegum FlavourSpecial offer HB-KIDS35OFF use - HB-SF25OFF for all HB other Products.use - HB-SF10OFF for HB Liposomal ProductsALL discount codes can be used at checkout on multiple itemsDiscount Codes only available on Health Bunker ProductsHealth Bunker Clinic www.healthbunker.co.uk

Martin and Gary unpack how HTML parsing really works, why the HTML standard is so lenient, and how messy markup can silently break key SEO signals like hreflang and rel=canonical. They revisit validators and cross‑browser hacks from the Netscape/IE days, and discuss whether semantic HTML and strict validity truly matter for search. You'll also hear when link hints like preload, prefetch, and DNS prefetch help performance (and indirectly SEO), and where meta and link tags really belong. ​ Resources: HTML Living Standard → https://html.spec.whatwg.org/ Episode transcript → https://goo.gle/sotr105-transcript Listen to more Search Off the Record → https://goo.gle/sotr-yt  Subscribe to Google Search Channel → https://goo.gle/SearchCentral Search Off the Record is a podcast series that takes you behind the scenes of Google Search with the Search Relations team.  #SOTRpodcast #SEO #GoogleSearch Speakers: Martin Splitt, Gary Illyes

From Command to Control: Stories of Digital Dilemmas The hosts discuss Apple Mail email signatures and discover that when a website URL lacks a prefix, Apple Mail defaults it to an insecure http link, which can trigger junk filtering; they also note cases where a displayed https link still points to http behind the scenes. They compare Apple Mail to Outlook in business environments, mention limitations around advanced signature management, and comment on Apple's minimal transparency in service-status outage explanations. They cover Apple's iOS 12 update extending certificates for services like iMessage, FaceTime, and device activation through January 2027, and then shift to opinions and speculation about Tim Cook's political pandering possibly being tied to tariffs and CEO succession timing. Returning to tech, they explain Apple Pay's security benefits—device-specific numbers and unique transaction codes—especially after a client's credit card was repeatedly compromised, and discuss adding additional browser protection via Malwarebytes Browser Guard and Chrome/Safari extension deployment through MDM (Addigy), including using ChatGPT to generate a configuration profile. They also describe using ChatGPT to edit MailChimp newsletter HTML quickly, and explore AI-assisted app development ideas such as an iOS app that converts call logs into calendar entries, referencing a Steven Robles video about building an app with AI while noting potential security pitfalls like exposed credentials. Lgistics issue involving gear ordered for testing via an Amazon locker at Staples. When attempting pickup, the host discovers the locker has no keypad and relies on the Amazon app and NFC. Despite signing into the client's Amazon account and enabling required app permissions (Bluetooth and device access), the locker cannot be accessed. Amazon customer service suggests the order data may be incomplete due to a third-party seller and issues immediate refunds or credits.   00:00 Welcome In: Time, the Clock Tower, and "Running Out of Time" 00:46 Client Referral Follow-Up: When People Go Radio Silent 01:39 Apple Mail Link Gotcha: Why Your Clean URL Becomes HTTP 04:13 Hidden Signature Code: Displayed HTTPS, Actual HTTP (and Spam Filters) 05:45 Why Apple Should Default to HTTPS (Google Already Does) 08:34 Signature Tools & Workflows: WiseStamp, Outlook, and What Clients Actually Use 10:37 Apple Still Updating Old iOS: Certificate Expiration and 2027 Cutoff 11:40 Tim Cook, Politics, and the CEO Succession Theory 15:06 Bully-Pulpit News Cycle: Waiting for the Next Outrage 16:08 Epstein Files & Accountability: Why Consequences Aren't Landing in the U.S. 18:16 From Past Scandals to Today: How the Bar Moved (Back to Tech) 19:00 Merch & Sponsorship Shoutouts (The Command Control Power Mug) 19:47 Apple Services Outages & the Vague Status Page Problem 21:14 Why Apple Pay Is Safer After a Card Gets Compromised 23:40 Dashlane vs Malwarebytes Browser Guard: Phishing/Scam Blocking Extensions 28:19 Layered Web Protection: Safari Safe Browsing, DNS Filtering, and Extension Risks 31:36 ChatGPT for Real Work: Fixing a Mailchimp Newsletter with HTML 33:06 AI-Assisted App Idea: Turn Call Logs into Calendar Entries (and Vibe Coding) 37:59 Security Caveats + Wrap-Up Quip About AI Summaries

A Knee Recovery Nightmare! Right Total Knee Replacement My Physical and Emotional Fight Against Pain Hypersensitivity and Protective Muscle Guarding – written by Cathy Banovac – interview by Lisa Pelley and Mary Elliott – Cathy was coached by Erin Rempher, PTA My name is Cathy and I reside in Arizona. I am 57 years old, a homemaker, and have had a genetic history of chronic osteoarthritis.  From a very young age, I have always had a very low pain threshold.  Prior to the commencement of pain in my knee, I considered myself a fairly fit and active person…loved gardening, entertaining family and friends, cooking, crafting, playing golf, traveling with my husband, walking our dogs, and playing with our grandchildren. Life was good! Early Summer In addition to the normal aches and pains that come with aging, I began to experience more than usual pain in my right knee.  I was experiencing daily occurrences of popping/clicking, giving out when walking at times, difficulty negotiating steps or stairs, and nightly interrupted sleep due to pain.  Over the counter medications, icing, heat, etc. was no longer managing my symptoms.  Upon visiting an orthopedic surgeon for examination and subsequent imaging, I learned I was over 70% bone on bone in my right knee joint.  I was told I was looking at a total knee replacement.  I was preparing to head to Michigan for a family vacation on the lake with my kiddos in August, so was not happy to hear this news.  I convinced my doctor to give me a steroid injection just to buy me the time I needed to take my vacation.  He was reluctant and told me that he predicted it would do nothing to help my condition at the very least or, at the very most, last for a brief time.  I made it through the trip, yet 3 weeks post-injection the symptoms had returned. No More Injections My surgeon declined my request for another injection, instead reiterating my need for the TKR.  Over previous years, I had witnessed my mother, father, husband and a few friends have knee replacement surgeries.  All came through their surgeries with what appeared to me to be a fairly pain controlled, timely recovery and successful return to their regular daily activities.  I was told I was on the younger side for this type of procedure, nevertheless, would greatly benefit from extended quality of life and return to desired activity, given my current quality of life and daily activity was becoming more diminished by the day. My Knee Replacement I underwent RTKR on September 25.  All went well and as expected with the surgery.  I was up and walking, began some light physical therapy exercises, and maintained post-op range and motion through use of a CPM while in hospital.  I was discharged to home on the third day post-op, with a couple of narcotic pain medications (initially Percocet/Oxycodone and Morphine) and directions to commence in-home physical therapy the following day.  My follow-up visit with the surgeon was scheduled for 6 weeks post-op.  Day one at home began my challenging journey of recovery, both physically and emotionally.  I experienced difficulty managing my pain even with narcotics and over the counter medications.  My swelling was as expected and able to be kept in check with anti-inflammatory meds and icing.  I experienced annoying side effects from the narcotics, i.e., headaches, nausea, constipation, and thus was bounced from one medication and dosage to another, none of which seemed to be the right combination or solution to my pain.  Out of complete desperation and in uncontrollable pain, I went to the emergency room after being home for four days post-op, hoping to get some relief. A Problem with the Surgery? I thought surely there must be something wrong.  A few hours later, together with a lecture from the hospital PT and some morphine, I was discharged back to home.  Back on more medication, I failed to again find relief from pain.  I was averaging about 2-3 hours of sleep per night and little sleep during the day.  My home physical therapist had her work cut out for her.  Over the next 4 weeks (twelve 45 min. sessions of in-home PT), I had yet to reach better than 85 degrees flexion and 10 degrees extension.  My in-home therapist said she spent most of those 4 weeks strengthening my calves, hamstrings, and quad muscles, all which were extremely weak.  Therefore, already I was approximately 4 weeks behind in range and motion advancement.  My pain was still very much out of control, all while I feared becoming more and more dependent on the narcotics prescribed. At the first follow-up appointment (six weeks post-op), my flexion was below 90 degrees and extension still not at the zero degree mark.  I was informed by my surgeon that I needed a Manipulation Under Anesthesia (MUA).  My knee felt very stiff, pain was still unmanageable, and I was stuck without advancement in physical therapy. Manipulation Under Anesthesia He took x-rays and made sure the appliance was not loose or slipping out of placement.  All was found to be in proper order and an examination found no infection that could be causing pain or other symptoms.  My surgeon had done his job.  I was told however, that he believed I was stuck due to scar tissue build-up and thus was in need of the MUA to break up the scar tissue.  This would also permit the ability to continue physical therapy, working towards achievement of the desirable degree of range and motion outcomes.  I underwent the MUA six weeks and one day post-op and immediately resumed PT the following day.  I was told not to worry about a reduction in my flexion and extension after having the MUA.  An MUA tends to put patients back about 3-4 weeks, so it is almost like starting all over again.  However, the idea is that advancement in range and motion should become easier now that the scar tissue has been broken up by the procedure.  I went to PT for 5 days in a row the first week following the MUA, did my home exercises faithfully on my own twice a day, then returned to PT three times a week for the next several weeks. After the MUA At the two week follow-up appointment post the MUA, I was still in unmanageable pain, still getting only 2-3 hours of uninterrupted sleep per night, and running every gamut of emotion and temperament.  My poor husband was beside himself and wondering whatever became of the woman he married 27 years ago.  My flexion was still only reaching in the low 90's and my extension was no better either.  I was still experiencing great sensitivity to the touch anywhere on or around my surgical knee.  I couldn't stand wearing pants or having any sheet or blanket covering my knee.  My pain was the worst at night, just when I was settling in for some restful moments on the couch watching TV with my husband.  I would suddenly be lifted off my seat with either pain that mimicked touching a lit match to my knee, or the stabbing of a knife, or the shock of a taser. Dealing with the Pain This pain varied and sometimes was relentless for several minutes.  I was in tears most evenings and headed to bed to ice or apply heat, which calmed the nerve pain somewhat.  I would take meds (Hydrocodone/Norco, Extra-Strength Tylenol, Ibuprofen,  Zofran (for nausea) Vitamins, a stool softener (due to Hydrocodone) and Gabapentin aka Neurontin.  I was soooo sick of taking medications.  I think my surgeon was beside himself as to how to control my pain and sensitivity, therefore, he recommended I seek help at a Pain Management Clinic for possible sympathetic blocks, as well as my medicinal pain management.  Both he and my physical therapist told me I was forecasting pain neurologically before any exerted physical effort on their part was made to cause any pain.  My intolerance for any amount of pain was prohibiting any measurable progress in my range and motion, thus scar tissue was building at a rapid pace.  Physical therapy continued to be a challenge as I protective muscle guarded any force applied by my therapist to get better R&M.  I cried through most of my sessions. Pain Management At my first appointment with the Pain Management Clinic, I met with the doctor.  Most people have sympathetic blocks in their back to relieve nerve pain, but the doctor I was referred to chose to recommend a Genicular Neurotomy, accomplished through a procedure called Coolief Cooled Radiofrequency Ablation.  I first underwent a test which involved Lidocaine injections in four areas surrounding my new knee.  The patient then logs their pain and activities over the following 72 hours.  A follow-up appointment with a Nurse Practitioner then reviews the log and determines eligibility for the ablation procedure.  At this appointment she chose to cut my medication cold-turkey for a couple of days as she deemed I was dependent on them, even though I was getting little pain control.  I experienced severe withdrawal symptoms for two days. A Change in Medication I thought I was going to go out of my mind.  A change in my medication increased the Gabapentin I was taking, and I was found to be eligible for the ablation.  I underwent that procedure approximately 6 weeks post my first MUA, just before the Thanksgiving holiday.  I was told that I would still be experiencing pain for approximately 4-6 weeks, due to the fact that the ablation was going to make my nerves “angry” as they fought their temporary death.  I was also informed that this procedure is temporary as nerve endings most often regenerate themselves over a 6 month to 2 year period.  Some patients must undergo two or three of these procedures to get lasting relief. Unhappy News This was not happy news to my ears, yet I was still desperate for relief and reaching out for anything, and I mean anything, that would control my pain.  I returned to the pain clinic for a follow-up to the ablation procedure only to report pain still very bad and that I was still taking a boatload of medication, icing, heat to quad muscles to relieve cramping, and poor results in physical therapy sessions.  I was told to give it more time and come back in a few more weeks.   At my next follow-up approximately 3 weeks later, I discharged myself from the Pain Management Clinic.  I felt that their treatment plan was not successful for me and they had no other plan to offer other than continued reliance on prescription medication and time. When recovery goes wrong – Read More A Desparate Time After barely getting through the Christmas holidays, persisting in physical therapy and weaning myself down on prescription medications (since they didn't seem to be having any great effect on my pain), I began to explore the possibility of medical marijuana as a solution to my pain control.  I have never tried marijuana and had little desire to smoke or vape it, but was interested in edibles they have out now.  I was desperate and finding myself sinking into anxiety, panic attacks and, at times, depression.  My family and my husband were becoming very concerned as I was changing into a person they did not know and they were at a loss as how to help me through my circumstances. Medical Marijuana Since medical marijuana is legal in the State of Arizona, I sought out a doctor with whom I met and applied for a patient card.  This process took approximately 3 weeks, including approval of my application through the Arizona Department of Health and Human Services.  Upon receiving my card, I met with a licensed nurse at a dispensary to become educated about the various products and my specific needs.  She was recommended by the doctor who signed off on my patient eligibility and works with a number of cancer patients to help control their symptoms.  We met for over an hour.  She was extremely patient with me, educating me about cannabis (which I knew little of) and gave me recommendations to try.  I purchased three of her recommendations.  I also decided to try getting a light massage once per week.  The massages lasted for approximately three weeks before I decided to suspend them, as I found them not helpful enough to warrant the expense. Little if Any Improvement Having done everything I was asked to do in my recovery and still making little if any gains, I found myself in a very dark place emotionally, desperate to end my pain, and I was done!!  One day, I was occupying my time, in between home therapy and out-patient therapy sessions, searching the Internet for anything that might literally save me.  When in answer to my prayer, I came across several website postings about a therapy called X10.  I shared some of it with my husband, my parents and my kids.  They encouraged me to explore it more.  After reading some of the patient blogs and watching a few of the videos that I could access, I made my first contact with PJ Ewing by emailing him.  PJ responded very quickly telling me that the X10 Therapy and machine was not yet available in the State of Arizona, but he provided me with some other resources.  I was initially devastated by this news, but I almost immediately decided that I was not going to accept that response.  I instantly thought to myself, “Well, if it is not available in AZ, then maybe I can travel to wherever it is available. Not Taking ‘No’ for an Answer This time, I placed a phone call to PJ and we talked for over an hour.  As it so happened, in our conversation I discovered that the X10 headquarters is in Franklin, MI, and I had family who lived in Rochester, MI.  PJ was more than gracious in discussing all the parameters and specifics of the possibility of travel to Michigan to undergo the X10 program.  To say the least, after completion of my discussion with PJ, I heard God say “Not yet, Cathy, I still have a plan for you on this earth.”  I discussed the possibilities with my husband and shared them also with my son and daughter-in-law, exploring their permission to have me as a houseguest for 2-3 weeks.  Of course, they couldn't have been more gracious and welcoming. Pain Still a Big Problem My pain was still out of control, I continued out patient PT three times a week with slow or little advancement in my R&M, had my six week MUA follow-up with my surgeon only to be told I was facing a second MUA.  I told my surgeon and my physical therapist about the X10 Therapy website I had discovered, and PJ sent me the clinical data to share with them.  Each of them, I am grateful to say, told me they had looked at the data and were “intrigued” by the therapy plan.  Both encouraged me to pursue it as an option for me, yet both also strongly indicated that enough time had passed between my first MUA and the ablation, therefore, still recommended I have the second MUA before commencing X10 Therapy. Turning to X10 Therapy after a Second MUA Once my husband and I had made the decision to pursue this plan, the wheels began to roll quickly.  Initially, I scheduled the 2nd MUA and a flight out from Phoenix to Detroit by myself the next day following the MUA.  I notified PJ of my  plans and he began to put things in motion by placing me in contact with Mary Elliott, Melissa, Mike, a therapy Coach, Erin a Physical Therapist, and Marty, a technician for machine home delivery and set-up.  The X10 Therapy approach is really a “team” approach to wellness, in addition to the machine itself and the technological programs it delivers to the patient. The Second MUA Was Coming Up As the days approached the 2nd MUA, I became extremely anxious and experienced a couple of panic attacks.  I began to stress about the MUA pain, having gone through one already.  The thought of flying alone, even though my son would be there to meet me at the other end of my flight, and having to get through a 4 hour flight plus 1 hour car ride to his home in pain, had me scared beyond belief.  I was consumed with thinking about how I would manage my pain.  Should I just knock myself out to sleep on the plane?  What if that didn't work?  What meds could I then take if in pain?  What about my leg position – straightening and bending?  How would I get help from curb, through security, to gate, onto plane and the same again when arriving including a stop at baggage claim?  How am I going to sleep at night?  Is this therapy going to put me back in unmanageable pain again, even though the X10 Therapy information says I am in control?  What if it doesn't work?  Can this end my knee recovery nightmare? And on and on and on…! Making Plans After talking it over with my husband and doctor, it was decided that I would delay my trip to Michigan for one week following the 2nd MUA.  I would continue outpatient PT immediately following the MUA, but have some time to consult with a psychologist concerning my sleep depravation, fears, anxiety/depression and develop a plan to manage my pain, as well as talk to the airline for special assistance to help solve my transportation needs.  My husband decided to make the trip with me for a couple of days, just to get me settled and started with X10 Therapy.  Armed with a revised medication and travel plan, I notified the X10 Team of my change in start date and all were extremely understanding and accommodating.  I had the 2nd MUA  on January 18.  I continued outpatient PT for three more sessions, in addition to my own home exercises twice per day.  My daily sleep and pain control was managed better and I was counting the days until our departure date.  It simply could not arrive fast enough! Friday, January 19 This will remain a very important and pivotable day in my life.  My journey towards healing, life anew and well-being would begin that very day.  Having endured a comfortable flight and having managed all the transportation arrangements with ease (kudos to Delta Airlines), we arrived at my son's home ready to commence what I can now claim as my own personal miracle.  Within an hour, Marty arrived with a smile, this technological marvel known as the X10 machine, and a thorough first orientation/training session filled with words of encouragement and confidence.  I was on my way, although until I began to see results (which were really displayed within that first session), I Had Hope I was still cautiously optimistic about where I was headed.  Could I really achieve the flexion and extension goals I was unable to achieve thus far with any of my existing recovery methods?  Would this therapy really enable me to manage my pain comfortably with mild medications?  Could I trust my X10 therapist and her plan for me?  Would the X10 team really be there for me when I needed them?  Was the X10 therapy the answer to my prayers?  Would I really be returning home in as little as  just over 2 weeks time to see my surgeon's and physical therapist's jaws drop as they witnessed my flexion and extension reach what we all thought would be skeptical results, but instead blow them away with incredible success?  It would not be long before I could actually acknowledge to myself that the answers to each of those questions would be a resounding YES! 110º Flexion Once I was able to reach the 110 degree mark for flexion, it was decided that I would add 5 min a day on the stationery bike. As I felt comfortable, I was able to increase that time in small increments and add another bike session in the evening.  While my progress was measurable daily, I did experience some cramping in my right thigh and calf, dealt with some bursitis in my right hip for about two weeks, and waking with some right leg pain some nights. Taking Care of Myself I found icing and elevating regularly after each exercise session, icing my hip, heat on my upper thigh at night, Tramadol 50 mg. only twice a day with Ibuprofen and Acetaminophen alternated during the day, and Theraworx Relief foam massaged in the cramping areas once or twice a day helped keep my discomfort manageable.  In addition, I spent some resting time researching dietary recommendations for inflammation and pain.  I incorporated tumeric, magnesium, Osteo Bi-flex, 100% Cherry or Pineapple Juice, Vitamin B6 & B12, Vitamin C, Vitamin D3, Zinc, fresh berries and decaffeinated tea with ginger, lemon and honey in my daily diet.  I also decided to limit carbohydrates and sugar intake in an effort to keep my inflammatory response in check. One Week In After one week on the X10 and with constant reassurance and communication from all of my X10 team, I could actually begin to call this journey and the X10 Therapy my miracle.  I had breached the 100's for flexion after starting at 55 degrees, and reached 0 degrees at the end of the first session on my extension, previously at 8 degrees.  My fears, anxiety and uncertainty soon gave way to renewed love for life, joy at gaining confidence in doing daily activities again, sharing my daily success by telephone with family and friends, and hope for the future.  The almost daily contact from one or more of my X10 team members answered any questions that arose, provided authentic cheerleading for my cause, and motivated me to press on for better and better results. Working with My Coach Mary called often to check in with me and was my calm and steady encourager.  My conversations with her were uplifting and kind of like talking to an old friend, casual and comforting.  My PT, Erin, made a home visit to discuss my history and offered varied strategies for increasing my flexion degrees, as well as made adjustments in my therapy plan due to some bursitis that I had recently developed in my right hip.  She was careful to make the appropriate adjustments to my therapy plan.  She and Mike (my strengthening coach and with whom I also met in person to go over exercises), together modified my plan by delaying some of the exercises, while still permitting three sessions a day for range and motion growth. Conclusions As I approach my last day of sessions on the X10 Therapy machine and a return home to Arizona tomorrow, I write my story to encourage anyone who has experienced one or more of the circumstances that I experienced subsequent to a total knee replacement.  I am happy to report that I was successful in breaking through some of my scar tissue, reaching 0 degrees for my extension and 117 degrees flexion.  My gait is much improved and, as I have returned to walking without a limp or dragging my surgical leg, the pain in my hip and lower back has also improved greatly. My knee recovery nightmare has finally come to an end. Some Rehab Insurance I will continue outpatient therapy immediately upon my return home in order to solidify my current range and motion, and even further improve my flexion as I am able.  I write this also as a means of paying it forward to future patients of the X10 and in grateful appreciation to my X10 Team, my family and my friends who affirmed, guided, encouraged, and yes, celebrated, my X10 Therapy journey of success.  The proof, as they say, is in the pudding, which is said to mean that you can only judge the quality of something after you have tried, used, or experienced it.  I absolutely cannot wait to share my experience and demonstrate my range and motion achievement in person to my surgeon and PT Team back home in Arizona. Thanks be to my God, to all of my support team and to X10 Therapy… life is good once again! To read about total knee replacement for a younger population, click here. The X10 Meta-Blog We call it a “Meta-Blog” because we step back and give you a broad perspective on all aspects of knee health, surgery and recovery. In this one-of-a-kind blog we gather together great thinkers, doers, writers related to Knee Surgery, Recovery, Preparation, Care, Success and Failure. Meet physical therapists, coaches, surgeons, patients, and as many smart people as we can gather to create useful articles for you. Whether you have a surgery upcoming, in the rear-view mirror, or just want to take care of your knees to avoid surgery, you should find some value here. #mc_embed_signup{background:#fff; clear:left; font:14px Helvetica,Arial,sans-serif; }/* Add your own MailChimp form style overrides in your site stylesheet or in this style block.We recommend moving this block and the preceding CSS link to the HEAD of your HTML file. */ Subscribe to the Blog Here * indicates required Email Address * First Name Last Name

It's survey results reason, and the State of React 2025 results are in! As in the past, Next.js continues to dominate as one of the most used frameworks, but TanStack Start is one to watch. Other honorable mentions include: Zustand, Vite, and (most importantly) Front-end Fire tying for fifth place in the podcast section. Thank you, listeners!Google has a new proposal called WebMCP, which is a way to define structured tools for agents visiting a site, ensuring they can perform actions with increased speed, reliability, and precision.And instead of complicated build processes to convert HTML to markdown for AI agents' benefit, Cloudflare now offers real-time content conversion when AI systems request pages from any Cloudflare site. That's pretty great!Timestamps:1:03 - State of React survey results12:22 - WebMCP24:27 - Markdown for AI agents34:27 - TypeScript 6.0 beta38:00 - Chrome gets split view41:09 - What's making us happyNews:Paige - Markdown for AI agentsJack - WebMCPTJ - State of React 2025 survey results and Claude ReceiptsLightning News: TypeScript 6.0 betaChrome gets split viewWhat Makes Us Happy this Week:Paige - New Girl TV showJack - GridfinityTJ - The ResidenceThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Klarna "AI-first", le High-Tech perce sur TikTok Shop et le séisme du SaaS.Dans ce 258ème épisode, Laetitia et Adrien décryptent la transformation radicale de la rentabilité : quand l'IA ne se contente plus d'aider, mais remplace et vend. Entre le pari fou de Klarna pour son introduction en Bourse et l'explosion des paniers moyens sur TikTok Shop, le retail bascule dans une nouvelle ère d'efficacité.Au programme de cet épisode :

Nick Câmara (CTO e Co-Founder da Firecrawl) conta como lançou o projeto open source num fim de semana, entrou no avião pra São Francisco… e quando pousou já tinha 1.000 estrelas no GitHub e os primeiros clientes pagando.Nesse episódio você vai descobrir:• Como a Firecrawl nasceu de um pivot brutal depois de um produto que “crescia, mas não explodia”.• O que realmente significa transformar qualquer site em texto limpo e JSON que IA entende de verdade.• Por que ser 100% open source foi a estratégia que mais acelerou a adoção.• Como atender Shopify, Canva e milhares de devs com apenas 22 pessoas no time.• A velocidade insana que eles alcançaram (menos de 1 segundo pra scrapear uma página).• E o que o Nick acha que todo mundo está subestimando nos próximos 24 meses de IA.Se você constrói com IA, vende pra devs ou sonha em fazer um SaaS que realmente escala, esse papo é ouro puro.

You love building web apps with Python, and HTMX got you excited about the hypermedia approach -- let the server drive the HTML, skip the JavaScript build step, keep things simple. But then you hit that last 10%: You need Alpine.js for interactivity, your state gets out of sync, and suddenly you're juggling two unrelated libraries that weren't designed to work together. What if there was a single 11-kilobyte framework that gave you everything HTMX and Alpine do, and more, with real-time updates, multiplayer collaboration out of the box, and performance so fast you're actually bottlenecked by the monitor's refresh rate? That's Datastar. On this episode, I sit down with its creator Delaney Gillilan, core maintainer Ben Croker, and Datastar convert Chris May to explore how this backend-driven, server-sent-events-first framework is changing the way full-stack developers think about the modern web. Episode sponsors Sentry Error Monitoring, Code talkpython26 Command Book Talk Python Courses Links from the show Guests Delaney Gillilan: linkedin.com Ben Croker: x.com Chris May: everydaysuperpowers.dev Datastar: data-star.dev HTMX: htmx.org AlpineJS: alpinejs.dev Core Attribute Tour: data-star.dev data-star.dev/examples: data-star.dev github.com/starfederation/datastar-python: github.com VSCode: marketplace.visualstudio.com OpenVSX: open-vsx.org PyCharm/Intellij plugin: plugins.jetbrains.com data-star.dev/datastar_pro: data-star.dev gg: discord.gg HTML-ivating your Django web app's experience with HTMX, AlpineJS, and streaming HTML - Chris May: www.youtube.com Senior Engineer tries Vibe Coding: www.youtube.com 1 Billion Checkboxes: checkboxes.andersmurphy.com Game of life example: example.andersmurphy.com Watch this episode on YouTube: youtube.com Episode #537 deep-dive: talkpython.fm/537 Episode transcripts: talkpython.fm Theme Song: Developer Rap

  Dave Ratcliffe inaugurated ratcical.org on the September Equinox, 1995 New 2nd edition of Understanding Special Operation will be released on 15 March 2026   Based on interviews with Col. L. Fletcher Prouty “The world of Official Narratives runs on cover stories (lies). The business of managing perceptions is big business. While 24/7/365 control and influence of perceptions—by multi-layered double-binds, catch 22s, and contronymal cages—hides in plain sight, it is possible to see beyond the mirrors and screens. A purpose of this book is to provoke questions and encourage curiosity.” directory now includes complete HTML and PDF copy of the 1999 First Edition and complete May 1989 and 5 Aug 1993 Recordings   Dave's influences; Mae Brussell, Tom Davis, John Judge, Marty Schotz, Vincent Salandria, Jim Douglass, and Graeme MacQueen, among others Discusses time in Santa Cruz supporting John's efforts to establish the Mae Brussel Library and Research Center Complete Transcript of the Martin Luther King, Jr. Assassination Conspiracy Trial, Nov 15 to Dec 8, 1999   and all references in Jim Douglass' 2000 witness linked to same: “The Martin Luther King Conspiracy Exposed in Memphis”   Graeme MacQueen, 2017: “Beyond Their Wildest Dreams: Sep 11 2001 and The United States Left” Jim Douglass: 1980: “Hitler won WWII.... The purpose of the Trident Campaign...is to change ourselves ... [by] reducing Trident to what it is in truth: An inert holocaust machine which conscientious people will no more choose to operate than they would an Auschwitz oven.” 2008: “... And that's why I have some hopes that if we are willing to go deeply enough into the darkness – and Kennedy was, and Khrushchev was – anything can happen for the good. But if we don't go into the darkness it doesn't happen.” 2025 quoting Martin King: ”How did we get here? We got here because [it's] our government, as Dr. King said in his April 7, 1967 speech” Helen Caldicott, 2015: Symposium: The Dynamics of Possible Nuclear Extinction Ed Curtin: review: “Martyrs to the Unspeakable: A Luminous Tapestry of Truth” latest analysis: “The Carefully Contrived Spontaneity of the ‘Shocking' Epstein Files Release”  

Das Thema „Markdown" geistert schon seit einiger Zeit durch die AI-SEO-Welt. Jetzt hat Cloudflare dafür ein ganz einfaches Produkt herausgebracht. Worum geht es bei der Thematik überhaupt? Kann man damit wirklich in Sachen AI-Suche punkten? Noch mehr von Bloofusion für Dich? https://www.bloofusion.de/hallo Markus bei LinkedIn hinzufügen/ansprechen: https://www.linkedin.com/in/markushoevener/ Unsere Online-Seminare bei OMCampus: https://omcampus.bloofusion.de/

Think saving webpages is just about hitting Print? Before you waste time on clunky printouts, learn how Safari's built-in options can actually preserve entire sites! • Export as PDF versus Print dialog • Saving web pages as images, HTML, or Safari web archive files • When to use PDF, HTML, PNG, or Web Archive for web page storage • File size differences and optimal formats for offline web saving • The best ways to keep web content on macOS Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: Melissa.com/twit

Think saving webpages is just about hitting Print? Before you waste time on clunky printouts, learn how Safari's built-in options can actually preserve entire sites! Export as PDF versus Print dialog Saving web pages as images, HTML, or Safari web archive files When to use PDF, HTML, PNG, or Web Archive for web page storage File size differences and optimal formats for offline web saving The best ways to keep web content on macOS Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: Melissa.com/twit

How AI Agents are Disrupting the AdTech Landscape Semantic content classification driven by AI agents is currently transforming digital advertising and B2B content monetization as we know it. When leveraged the right way, marketers can classify B2B content into actionable signals and find the most relevant content across the open web. This shift toward AI-native advertising allows for a more sophisticated approach to targeting that moves beyond traditional cookies. So, how can brands strategically implement these tools to generate impactful results, and what does the rise of autonomous agents mean for the future of your digital marketing strategy? That's why we're talking to Brendan Norman (Co-Founder and CEO, Classify), who shares his expertise and experience on how AI agents are disrupting the AdTech landscape. During our conversation, Brendan discussed the evolution of digital advertising and the critical integration of AI and cloud-based tools to automate manual tasks and improve campaign optimization. He also elaborated on the massive shift from human-centric to agent-centric traffic, predicting that agent traffic will surpass human traffic within 18-24 months. Brendan also explained why he believes that the future belongs to marketers who can blend audience and contextual signals to monetize human and agent attention. He highlighted how new AI-native tools are democratizing advanced ad tech, significantly reducing costs and improving efficiency for large and small advertisers. https://youtu.be/yVobWZTmwco Topics discussed in episode: [03:01] Beyond Keywords: How semantic understanding allows advertisers to target the nuance of a page (like “snow removal” vs. just “winter”) rather than broad categories.  [06:46] Optimizing for AI Agents: Why “Generative Engine Optimization” (GEO) complements traditional SEO, and how brands must prepare for agents retrieving information instead of humans.  [12:34] The Shift in Web Traffic: The prediction that agent traffic will surpass human traffic on the web in the next 6 to 24 months.  [15:50] The Power of Context + Audience: Why the best advertising strategy combines who the user is (audience) with what they are consuming in the moment (context).  [20:47] Democratizing Ad Tech: How AI agents and new frameworks will allow smaller brands with smaller budgets to access sophisticated programmatic advertising tools.  [26:54] High-Fidelity Curation at Scale: How AI reduces the cost of processing massive data sets, making real-time optimization and curation accessible and sustainable.  [33:44] The “Middleman Tax”: A look at the inefficiency of current ad tech where only 35 cents of every dollar reaches the publisher, and how AI can fix this.  Companies and links mentioned: Brendan Norman on LinkedIn  Classify  Bluefish AI Agentic Advertising Org  IAB Tech Lab Transcript Brendan Norman – Classify, Christian Klepp Brendan Norman – Classify  00:00 I think overall, jobs will change. I think that people will have to spend a lot less time doing a lot of the manual, rote tasks that they’re doing today. You know, kind of in parallel with what we’re seeing in terms of vibe coding and people’s ability to build product really quickly, design new web pages really quickly, like get ship things out quickly. I think a lot of the infrastructure layer tools, or just call them like, like, chatGPT style, cloud based tools, LLMs (Large Language Models), we’ll see a lot deeper integration into existing advertising product. And what that does is it helps democratize the whole ecosystem. So I think it frees up people’s time, you know, to not have to do a lot of the basic administrative, you know, reporting, manual, campaign, optimization type stuff, and it will help service a lot better insights. Ultimately, I think the industry grows, and I think it scales even faster and cautiously, optimistically. I think that we, we will have back to building on the curation piece, and, you know, the advertiser, outcomes piece, publisher monetization piece, user experience piece, I think that all those things will increase. Christian Klepp  01:07 When done the right way and leveraging the right approach and technology, you can classify B2B content into actionable insights and find the most similar content across the open web. So how can this be done the right way, and what role do B2B Marketers play? Welcome to this episode of the B2B Marketers in the Mission podcast, and I’m your host, Christian Klepp. Today, I’ll be talking to Brendan Norman about this. He’s the Co-Founder and CEO of Classify, a software that organizes the world’s digital content, making a privacy, safe, searchable and monetizable. Tune in to find out more about what this B2B Marketers Mission is, and off we go. I’m gonna say Mr. Brendan Norman, welcome to the show. Brendan Norman – Classify  01:49 Thanks for having me, Christian. Christian Klepp  01:51 Great to have you on. I’m really looking for this conversation because, man, like you know, in our previous discussion, besides talking about snow and bad weather, we did have, we did have we did have some interesting discussions around, I’m going to say, AI machine learning, and how that all has some kind of like strong correlation to content. So let’s just dive in. I’m going to start with the first question here. So you’re on a mission to help publishers increase monetization potential and advertisers target the most relevant, curated inventory. So for this conversation, I’m going to focus on the following topic, and we can unpack it from there. So how B2B brands can optimize their own content. And you know, let’s be honest. Brendan, who the heck doesn’t want to do that, right? So your company classify, if I remember correctly. It’s a software that organizes the world’s digital content, making it privacy, safe, searchable and monetizable. So here’s the two-pronged question I’m happy to repeat. So first one is, walk us through how your software does that and B, how does this approach benefit? B2B companies looking to optimize their own content? Brendan Norman – Classify  03:01 Historically, how a lot of content gets categorized, classified, organized, it’s fairly unsophisticated, and it’s been fairly unsophisticated for a long time, just because, you know, the technology is difficult to do, and we haven’t really had the foundational ability to understand it in a way like a human understands it until fairly recently, and do it at Deep scale. So good analogy for this question is like, if you were having a we were having a conversation just a minute ago about the snow, you know, happening in Canada, and how cold it was and how much snow you got, and, you know, also around the fact that, like you had to shovel your driveway, you have a snow blower you were putting the snow. There’s a lot of different nuance to that conversation. I as a human, and most humans, are able to interpret all of that nuance and kind of positively negatively, understand that there’s a snow blower involved in that snow blower was used to remove the snow historically that conversation, you know, if it was just a blob of text, or if it were a web page, the the basic technology to understand it would have reduced it down to a category like snow or maybe winter, and that’s it, and that’s all the targeting that would have happened to that page. So our conversation, you know, gets transcribed. It gets put on a blog, or it gets put on a news site. The only thing that a machine could understand about it was, you know, snow and then potentially a keyword, tagged snow blower. And that’s all so we took a very different one. One of the reasons why you know that that makes it challenging for advertisers and also for publishers. If you’re the publisher of that content, you’re not able to help advertisers really understand the nuance to like, what are we talking about here? Because maybe an advertiser wants to sell snow blowers for that specific site. Maybe they’re looking to sell ski and since we were talking about removing snow from a driveway, probably not the best application to go sell skis on. What is helpful is to deeply understand all the nuance to like we were talking about a driveway. We were talking about removing snow from that driveway. So we invented, you know, a much better, more sophisticated way to scrape content, classify it according to all of the different, you know, nuances semantic understanding much more like a human would, and then embed all of those different, you know, semantic understandings into, you know, this, this, this file, and then we organize that in a way that makes it searchable and kind of understands all the relationships very quickly. And what that does is it helps advertisers, like if you know, I’m Honda selling snow blowers, which they make, arguably the best snow blower in the market, if they’re looking to reach people that are talking about snow removal from the driveway, they can very quickly see the list of all the different URLs across the internet, and they can build, you know, a deal ID, or they can build a targeting, contextual targeting segment to specifically pinpoint those very specific web pages. And that’s kind of how the technology works, and then also, also why it’s relevant to advertisers. Christian Klepp  06:21 Thanks so much for sharing that Brendan that definitely helps us give, you know, some perspective into, like, what your software does. And you know, just, I’m asking you this from, from somebody who probably has learned to write one or two lines of code, and that’s as far as my dev skills go. But like, how, how is your software different from like GEO (Generative Engine Optimization), or is there some kind of overlap? Brendan Norman – Classify  06:46 It’s fairly complementary. I mean, the problem that GEO, you know, is trying to solve, and we’ve got good friends, advisors, you know, like at Blue Fish AI and like, a really cool company, Andre, I worked with him at live rail. He was the co-founder back then, before we got acquired by Facebook, you know. And I think that the problem that they’re trying to solve is going back to that it was just stay on Honda snowblowers. They’re trying to help Honda understand how they’re represented inside of, inside of an LLM or inside of a chat bot. And what they also do is they help these companies restructure their pages for, you know, better representation inside of the other end of like a chatGPT or a cloud answer. So it is kind of SEO (Search Engine Optimization), but for the generative world where we sit on is kind of on a different side of that. It’s very complimentary, though, and we’re deeply understanding content at scale, and that’s helping, you know, the advertiser understand where to position their ad. We’re also just, you know, very quickly, moving into this new space of, traditionally, advertising technology is focused on a human going to a web page, reading that content, reading the article, watching a video, you know, whatever that content looks like, and then helping the right advertisers show up in a contextually relevant way, so that the human will click on that ad, and they’ll go to another web page, they’ll buy the thing, whatever somebody wants to sell. A very recent development, so back up a year or so, you know, chatGPT Claude when they’re out and their agents and their bots are scraping like going out to the web and they’re retrieving information. They’re doing it to train their models to make their models better at answering questions. But now, you know, fast forward to today. They’re actually spending more time just going to content and then using that content to answer a specific question. So like, what’s the best recipe for, you know, creating soft shell craps. It’ll query a couple different web pages. It’ll find that, it’ll retrieve that information and bring it back that that is not being monetized today. And there’s a really interesting thing that we’re, you know, we’re starting to work on, which is monetizing the attention of an agent. And, you know, it’s, there’s a lot to figure out, but it’s kind of like the early days of a web browser, and like early days of search, when humans would go, you know, to a search engine, they would pop in some keywords, or, like, right out of search, and then, you know, Google would look at their entire index of the web, which was an algorithm that was weighted based on the number of different contextual relevancy plus the number of connections between web pages. So a web page that I might have published in geocities.com that nobody else would link to, Christian Klepp  09:50 wow, GeoCities like… Brendan Norman – Classify  09:54 Throwing way back remember the days of like writing like HTML and you know, creating that, you know, looping in some type of image because nobody else had linked to that, like personalized page that you built, it would never get shown up. And, you know, the top 20 or 30 or probably even couple 1000, or maybe even 100,000 search results. So their algorithm was about contextual relevancy, plus the number of links that other pages that had to your page. And then they started to include advertising in that. So early days of ads in search were literally anything, you know, it’s any advertiser that wanted to advertise to you, and they were just kind of choosing the highest price, trying to figure out, you know, how do we make money? And then it evolved into much more contextually relevant ads and sponsored post or sponsored advertisements. So now you know, if you’re searching for, like, what’s the best, you know, LLM or chat bot, you’re probably going to see a sponsored ad from, you know, Claude and Perplexity and chatGPT. Now you’re also going to see the search results underneath those. What’s changing about that kind of rapidly is how we’re influencing because humans are spending less time going there and doing that, and also within Google, Gemini is also surfacing some AI summary quickly and kind of superseding that, creating a chatGPT experience inside of Google, which is a brilliant way to do it also. But a lot of human interaction with the web now is humans going to chatGPT going to cloud asking questions and kind of treating it like we used to treat search back in the day. So influencing that, influencing that agent, going out to the web and sitting in between. That is another really interesting way that you can help an advertiser tell that story, not necessarily to a human but to the agent who’s retrieving the information and then bringing it back to the human, Christian Klepp  11:56 Right, right, right? And if we’re talking about content, it’s, you know, doing it in such a way that the content shows up in the AI search. Brendan Norman – Classify  12:04 Exactly. Christian Klepp  12:05 Because everybody, everybody’s got those now, right, like Google or Bing, or whatever, they’ve got the, they’ve got the AI summary at the at the very top of the page, right when you, when you, when you key in something. Brendan Norman – Classify  12:17 Yeah. Christian Klepp  12:18 Okay, fantastic. I’m gonna move us on to the next question about because we’re on the topic of optimizing content. So what are some of the key pitfalls that like B2B Marketers and their content teams? What should they be mindful of, and what should they be doing instead? Brendan Norman – Classify  12:34 That would be actually a better question for some of the GEO companies and something like more SEO focused companies about how to specifically optimize like your content. It’s a great question. I haven’t spent as much time, you know, deeply thinking through that. And the problem that we’re trying to solve is more of, you know, at scale, what is the semantic understanding of like, how somebody has built their page and or construct the video, as opposed to advising them on what they should do? You know, to think about it in a way that’s either more engaging. I would pivot that question more to the Geo and SEO focused folks, yeah, but super high level. I mean realizing that now web has two primary users of traffic. There’s humans who are bouncing or reading a, you know, web page or watching a video. But there’s also agents. And now the scale is like, changing very, very quickly. So you know, in the next year, two years, everybody will have lots of agents, kind of doing things on the back end for them. And, you know, we believe that, you know, in the next what, 6,12,18,24 months, Agent traffic will surpass human traffic on the web. So realizing that there’s these kind of two layers that one, humans see a web page and nice pretty pictures, and, you know, they see the layout great, but also having a web page that’s optimized in HTML, markdown, JSON, in ways that agents consume that, and then also knowing the different types of agents. So the cool thing that we’re building right now, in addition to this content graph of all the content, which is effectively like a understanding all the context between the content. It’s a mouthful, an agent graph that helps to inform this is an agent coming to my site. So in a lot of ways, it’s very similar to the folks who over the last decade or so, have built these identity graphs or audience graphs, and they know that like you, Christian versus me, Brendan, they’ve got some profiling on us. They understand our search history, our retargeting, our purchase intent, a lot of things that they’re appending to like you as a specific profile or an IP address. The rapid evolution of all this is mapping out the land. Landscape of different agents, where they come from, and then the personalization of these agents, and basically applying a lot of the similar logic that we’ve used for identity graphs and for audience graphs towards agents to help understand, how do you modify the content on the back end that humans never see, so that when they’re retrieving information, interacting with the content they’re doing it, you’re presenting in a really thoughtful way that drives like the answers and the results that you want to Christian Klepp  15:33 right, right? No, absolutely, absolutely. And in our previous conversation, you talked a little bit about contextual versus audience targeting. So and I mean, I’ve asked you this back then, but do you think one is better than the other, or do you think that they can work together? Brendan Norman – Classify  15:50 They should absolutely work together. Christian Klepp  15:52 And why? Brendan Norman – Classify  15:54 The reason, the reason is, you know, knowing who you are is a very important piece to the puzzle. Like, and if you even take a step back, like, what’s the whole point of advertising? Like, the whole point of advertising is storytelling, so that a brand or a service or a company can help market their brand service to the right person they’re trying to sell them something. The cool thing about the internet is we all now have this, you know, basic shared awareness that, like, there are certain things that are paid for on the internet, certain types of content that are gated. I might buy a subscription to The Economist, you know, I pay Claude a certain amount of money, a lot to be able to use it, you know, a lot and chatGPT, and then a lot of the web is free. Facebook is free, Tiktok is free, Instagram is free, LinkedIn is free. But the economics, it’s very expensive to run these businesses, so they have to, you know, support it through advertising. Ideally, you know, there’s a couple of ways to think about it, and there’s one camp of people on the internet who think that advertising is a necessary evil or a last resort, you know, we just cram it in there and make some money. There’s another camper of folks who actually think that it can be additive to the experience. And one of the reasons why, you know, it’s kind of a meme, and you always hear people talking about, you know, I didn’t need this thing, but I saw an ad for it on Instagram, and just had to buy it because it was really cool. The reason why that exists is that their advertising is phenomenal, and the targeting and optimization is phenomenal. And why it’s phenomenal on the back end is it knows a lot about you know me, who I am, what I’m interested in, based on my history, what I’ve been engaging with, where I’m spending time, you know, what I’m looking at, but it also knows specifically when I’m looking at that thing, you know, it might have a framework of saying, Brendan, really, you know, likes these types of skis, you know, he’s interested in, You know, a couple other, couple other interesting products, but the best time to serve each one of those products might be different, and it’s different depending on what I’m looking at, what I’m thinking about in that exact moment. And to kind of align these, these different graphs, graphs of intent, contextual understanding, and then audience, you know, the best time to serve me an ad for a new pair of skis is when I’m reading an article about skiing or something about the mountains. You know, it’s not necessarily when I’m reading about the Warriors, because I’m not really thinking about skiing when I’m reading about basketball. So to your point, the most effective ads are when you’re combining those two sets. It’s great for the advertiser, because I’m much more likely to click on it and go check out the skis. It’s also giving me a better experience, because it feels more native to the overall content that I’m reading. And that’s why it’s so important. It shouldn’t be an afterthought or a necessary evil or a last resort. It should be something that is intentionally thought about the entire design, because it can, it can actually be a cool experience. Christian Klepp  19:06 Absolutely, absolutely. I mean, you know, you’re talking to somebody that started his career in the in the advertising industry, so, yeah, I’ve heard that one before, and what you’ve been describing in the past couple of minutes sounds to me a little bit like time of day marketing too, right? Because you’re you know, are you the had a guest on, like, a year ago who talked about this? Right? Is, is Brendan, the same guy at eight in the morning and one one in the afternoon and seven in the evening? Right? There’s different different times of the day, different mindset, different motivation, different reason for being on your device or looking at, looking at specific type of content, right? But it is interesting, right? And it’s interesting and sometimes a little bit scary, how, um, how quickly the algorithm picks, picks this stuff up, right? Like, for example, last year, I was researching a lot on Japan, because we went there, right? Family trip and whatnot. And. And that’s what I kept seeing on Instagram, right? Like, because I was looking up specific temples and whatnot and and today I got another push. Like, would you like to invest in a temple that’s an on island in the Sea of Japan, right? Brendan Norman – Classify  20:12 Like, sorry, did you invest? Christian Klepp  20:17 No, I did not. But it was just, it was just funny that I got that ad right, like, it’s, like, Okay, interesting, but like, it’s so like it not, was not on my radar at all, right, Brendan Norman – Classify  20:29 Yeah, Christian Klepp  20:29 Okay, great. From your experience, and you talked a little bit about it now in the past couple of minutes, but like, from your experience, how can leveraging AI agents improve efficiency and save marketing leaders time? Brendan Norman – Classify  20:47 Ooh, there’s a couple different ways to think about that. So you know, part of it is this new agentic framework for how existing tools, you know, advertising and marketing tools, will communicate with each other today. You know, it’s fairly complex. You know, if I wanted to go build a contextual targeting segment to help one of our brands that we work with find the right contextual or inventory to target contextually, I would have to work with them. We build a targeting segment. We would upload that into our one of our SSPs, we would build a deal ID, you know, they would connect it back. And there’s a lot of different pieces that happen along the way. And each one of those pieces you have to go to, you know, a UI, I’ve got to go to a dashboard, I’ve got to push that thing in. Some of it happens through an API, but a lot of it happens like going to a whole bunch of different web pages to make sure this stuff all works. So stuff all works. What’s cool about agents? And I’ll unpack this, and then I’ll go to the more of the consumer focus side too. But what’s really cool about agents using, you know, things like the ACP framework from the Agentic Advertising Org., the ARTF (Agentic Real Time Framework) from IAB Tech Lab is they’re kind of built on some of the existing frameworks that allow humans to use natural language to communicate between these different systems. So there’s still the back end pipes of API pushing data or pulling data from one system to another. But on top of that is more of an agentic framework that allows, you know, a human just to use some prompting, like in chatGPT, to make a request, you know, that talks to a back end system. So that’s one part of the agentic framework for like, you know, how to think about this through the lens of advertising and marketing. And then the other side is, you know, more of the consumer focused. There are so many interesting and very quickly growing tools you know, that you can start to plug in, into Cloud, into Cloud code, and to building things that just rapidly accelerate development of different products and your ability to analyze data quickly. I think in the next, you know, 6 to 12 months, we’re going to have a totally different landscape for how people are buying like trading media also, you know, one more final thought about all of this is that a lot of the sophisticated tooling and pipes that we have are only accessible towards the largest advertisers today. And I think that you’ll pretty quickly see a democratization of the ability for anybody to just buy programmatic ads, whether you’ve got a $20 a month budget or a $20 million a month budget. Now, the ability to similar types of tools to access the right content across the web will start to be available towards a lot more folks outside of the existing, you know, kind of ad tech ecosystem. Christian Klepp  23:55 And I might be stating the obvious when I say this here, but that’s a good thing, isn’t it, because, I mean, I, again, I came out of this industry, and I know that, like, you know, if you wanted to advertise in the New York Times, for example, right? Like, how expensive that would be, or, or anything that was print, right? And then they migrated all that to digital, and then it still wasn’t, it still wasn’t affordable. It was, it was cheaper than print, but still not like, exactly like, you know, yeah, I wonder, wonder if they’ll be worth the investment or not. And then now you have this, this push towards the democratization of all of this through AI and machine learning and, and I do think that you know, for all the the scare mongering that you know people are doing now with, with, oh, you know, all this stuff around AI, I do think that that part certainly will be advantageous to to B2B companies and to marketing in general. Brendan Norman – Classify  24:49 Great. I mean, yeah, optimistically, I think I’m excited about the entire landscape changing because it does a couple things. It allows for much more contextually relevant ads. I know right now there’s only, let’s call it to the magnitude of like, 1000s, 10s of 1000s, maybe hundreds of 1000s, of campaigns and or brands that are able to use these pipes to reach the largest publishers. And all of a sudden you expand that out. You know, I think between meta and Google, they each have somewhere between 15 to 20 million unique advertisers on their platforms, and what that means is, you get really hyper specific ads. And it also means that, like, I might get a local ad for my hometown here for some restaurant that’s launching a promotion that I might only get here, and I might only get to your point, maybe not in the morning, but I’ll get in the evening. There’s a lot of different data sets around my identity, you know, the psychographic profile, contextual understanding of what I’m reading at that exact moment. And what it does a lot of things. It helps smaller brands get more traction, get more visibility. It also just helps improve the publisher experience, and like publishers, make more money. And then the user who’s consuming that content, reading the web page, watching a video, also has just a better experience. And then the other layer of that will continue to just go on, this narrative of agentic, tension, but the agents who are reading that content, watching that video for an end user. On the other side, are also able to interact with advertising content that’s very contextually relevant to the content that they’re consuming again, and it’s good for the storytelling of the advertiser and good for monetization of that publisher too. Christian Klepp  26:38 Absolutely, absolutely. Okay. So how can high fidelity curation? This is the next question, right? How can high fidelity curation make B2B companies more sustainable? And if you can just provide an example, Brendan Norman – Classify  26:54 Curations like, it’s such an interesting term, but you know, effectively, it’s just, it’s helping to use the word and the definition, the definition in the word, curate the right inventory to run an ad campaign on, and curate the right inventory and audiences. So it’s a really important part of the business. I think it involves a couple things. It involves front end targeting, of knowing who’s the back to that question, who’s the audience, and then what’s the right content, and then it also involves a lot of ongoing optimization. And I’ll say that there are some some interesting companies that that are really good at curation, who are building out the right automatic tools to think about more real time optimization, and it’s something that the really big social media companies do very well, like they’re constantly looking at lots and lots of signals when they’re running a campaign, and they’re looking at inventory and stitching together based on the signals that they’re acquiring around. Why certain campaigns do well, to your point, you know, when we’re testing that, selling that pair of skis to Christian, we’re testing a lot of things. We’re testing what he’s reading, you know, we’re testing maybe time of day. We’re testing, you know, where he is. There’s a lot of different elements on the back end that they will ingest and understand and then refeed into that targeting and optimization algorithm. And I think that that is one of the cool things that AI to use, like the air quotes, AI will help enable the processing of a lot of this data to just be a lot faster, be a lot more cost effective, and a lot of these systems that you know previously have been not accessible to the ad tech ecosystem, just because we we operate at such a crazy scale of 10s, hundreds of billions of requests and impressions and transactions that happen every single day. It’s very cost expensive if you’re processing all of that data and all these different signals, with the advancement of how the model cost is getting a lot less expensive, very quickly, not just from an LLM perspective, but then the foundational layers and the infrastructure layers, like we’re doing contextual intelligence as an infrastructure layer. There are inference layers that all kind of sit underneath the LLM and help inform an LLM understanding of that content. As those costs start to decrease, you’ll start to see a lot better performance from curation, just because, you know, it’s not as cost prohibitive, and we’ll be able to find that balance in terms of economics. Christian Klepp  29:45 Yeah, yeah, you hit the nail on the head there. Because, you know, I was just writing this down. You said faster, more cost effective and in my head, and you said it, it’s like, and at scale, like, you can scale this stuff faster, like, when I when I think back, like, years ago, when we, when we launched an ad campaign, and, you know, just the amount of effort, like, for the print and then the cost into, you know, the media placements and all of that and and just alone for like, one city, just just the amount of investment that was involved in all of that, right? Just think, thinking about that. It’s like, gosh, and then now you can scale all of that, like, even faster, because it’s because it’s digital, right? So it’s just such an incredible evolution. Like, I’m getting just as excited as you are man, I’m like, for this next question. Brendan, I’m not sure if you’re the type that likes to do this, but I need you to look into the crystal ball for a second here, right? Because we’re looking at, like, stuff that is, you know, the events that are yet to come, if I’m gonna that, make it sound a little bit suspenseful, but, um, the future of digital advertising, like, how do you think that could become less fragmented and more optimized with everything that we’ve talked about in this conversation. Brendan Norman – Classify  31:04 Yeah, I caution against, like, having any, any specific predictions, and more of, like, a framework for, I mean, for me, at least, yeah, more of a framework for how I think overall, jobs will change. I think that people will have to spend a lot less time doing a lot of the manual, rote tasks that they’re doing today. And, you know, kind of in parallel with what we’re seeing in terms of vibe coding and people’s ability to build product really quickly, design new web pages really quickly. Like, get ship things out quickly. I think a lot of the the infrastructure layer tools, or just call them like, you know, the like, chatGPT style, cloud-based tools, LLMs, we’ll see a lot deeper integration into existing advertising product. And what that does is it helps democratize the whole ecosystem. So I think it frees up people’s time to not have to do a lot of the basic administrative, reporting, manual, campaign, optimization type stuff, and it will help service a lot better insights. Ultimately, I think the industry grows, and I think it scales even faster. And, you know, cautiously, optimistically, I think that we, we will have back to building on the curation piece, and, you know, the advertiser, outcomes piece, publisher, monetization piece, user experience piece, I think that all those things will increase, and I I’m hopeful that with the integration of just better technology, embedding AI into a lot of these systems, it’s going to help steer us towards having better experiences across any type of Publisher content. I think that the advertisers will see better outcomes. I think that the people that are in this industry will get to think more creatively about how they’re, you know, building better creative storytelling, better reaching the right people with those stories. And my hope is that it just continues to expedite and grow the overall industry. Brendan Norman – Classify  33:17 That will be my hope as well. All right, get up on your soapbox here for a little bit. What is a status quo in your area of expertise? So anything that we’ve talked about now in this conversation, what’s the status quo that you passionately disagree with and why? Oh, you must have a ton. Brendan Norman – Classify  33:44 I definitely do. I mean, you know, Christian Klepp  33:48 just name one, just one, Brendan Norman – Classify  33:50 Like in any industry, you know, there’s always, there’s always the early adopters, you know, there’s always the kind of like the middle stack, you know, there’s always, like, the laggards. There’s definitely, you know, a smaller, but growing quickly, minority of folks who are really leaning into, you know, I’ll just call it AI, and then the agentic web, and there’s a lot of discussion right now in ad tech around like, what that means? I’m still hearing that. There’s a lot of skeptics who are kind of making fun of it, or, you know, trash talking about different protocols. Fine, like those are the folks that are absolutely going to get left behind. And I think a lot of those folks on the soapbox in the next 6 to 12 months will look back at, you know what they said, and we’ll all kind of say that didn’t age well, and you were not building this stuff. You weren’t fingers on keyboard or hands on keyboard. Vibe marketing, vibe targeting, building stuff like shipping new product and testing and iterating. What I what I don’t think, is that the really big platforms are just able to be super nimble and adapt to a lot of these new frameworks quickly, totally like the pipes will continue to stay there. I think that there will be startups that are more nimble, that can build and ship things, you know, proof of concepts, prototypes, get things out, learn from them, fail, iterate, and then start to scale meaningful businesses without having to rely on a lot of the existing infrastructure that exists today. Do I think the trade desk is, you know, going anywhere? No, do I think that they will, like, continue to be a valuable piece in this ecosystem, absolutely. And I think that they will ship things. I think that they’ll enable the industry like to build on top of of the pipes that they’ve already built. And at the same time, I think a lot of that rapid advancement will come from startups who are kind of proving that, like they don’t necessarily need the existing pipes and channels to be able to at the end of the day, you know, this whole ecosystem is about helping an advertiser surface their ad against the right content for a human or for an agent. And there have been a lot of folks kind of sitting in the middle for that space for a long time. One of my favorite stats, soapboxy stats, is that if an advertiser puts $1 in to the open web with a programmatic web, 35 cents comes out to a publisher, so 65 cents is being taken by some combination of middlemen, you know, who are collecting a margin for, you know, different services, also some version of fraud. There’s a lot of things that happen in between that and what I’m again, cautiously optimistic about, you know, like the big picture, AI, of facilitating, is the ability to reduce that margin so that, you know, advertiser puts $1 in. A lot more of that dollar comes out towards the publisher, I think big social media, you know, it’s around 70 cents comes out. So they take, you know, somewhere between 25 to 30 cents, which is kind of the value exchange of providing the services, all the targeting, all the technology that goes into supporting that, you know, as a more fair exchange. So I think what a lot of the folks on more of the startup on more of like the front end of the frontier tech in the space we’re excited about is getting to reduce a lot of that inefficiency and a lot of that margin in the middle, and helping more of that dollar show up towards the publisher where it should. Christian Klepp  37:34 Boom and there you have it. Man Brendan, this has been awesome conversation, so thanks again for your time, please. Quick intro to yourself and how folks out there can get in touch with you. Brendan Norman – Classify  37:45 Yeah. Brendan Norman, CEO co-founder at Classify, please. You know, hit me up on LinkedIn or shoot me an email. Check out our website, which is, you know, www.tryclassify.com. I’m happy to connect. You know, if you have questions about advertising from a publisher side, from an advertiser side. Love to chat about it. Christian Klepp  38:06 Sounds good. Sounds good once again. Brendan, thanks for your time. Take care, stay safe and talk to you soon. Brendan Norman – Classify  38:13 Cool. Thanks, Christian. Christian Klepp  38:14 All right. Bye for now.

Think saving webpages is just about hitting Print? Before you waste time on clunky printouts, learn how Safari's built-in options can actually preserve entire sites! Export as PDF versus Print dialog Saving web pages as images, HTML, or Safari web archive files When to use PDF, HTML, PNG, or Web Archive for web page storage File size differences and optimal formats for offline web saving The best ways to keep web content on macOS Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: Melissa.com/twit

Think saving webpages is just about hitting Print? Before you waste time on clunky printouts, learn how Safari's built-in options can actually preserve entire sites! Export as PDF versus Print dialog Saving web pages as images, HTML, or Safari web archive files When to use PDF, HTML, PNG, or Web Archive for web page storage File size differences and optimal formats for offline web saving The best ways to keep web content on macOS Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: Melissa.com/twit

Think saving webpages is just about hitting Print? Before you waste time on clunky printouts, learn how Safari's built-in options can actually preserve entire sites! Export as PDF versus Print dialog Saving web pages as images, HTML, or Safari web archive files When to use PDF, HTML, PNG, or Web Archive for web page storage File size differences and optimal formats for offline web saving The best ways to keep web content on macOS Host: Mikah Sargent Download or subscribe to Hands-On Apple at https://twit.tv/shows/hands-on-apple Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: Melissa.com/twit

Wie hat dir die Folge gefallen?Gut

Five years. 218 episodes. 110 hours of content. To celebrate, five returning guests flip the script and interview Sani about the agentic web, the future of web optimization, and what makes this podcast tick. Kelly Wortham, Iqbal Ali, Talia Wolf, Jon MacDonald, and Shiva Manjunath each bring their own questions, their own perspectives, and a few personal ones too.Chapters00:00 - Five years of No Hacks01:33 - Kelly Wortham: Why the shift to the agentic web?05:17 - Kelly Wortham: The secret to being a great podcast host08:57 - Iqbal Ali: Why Web MCP is a big deal12:23 - Iqbal Ali: What excites you about 2026?13:58 - Talia Wolf: What everyone misses about optimizing for AI agents15:33 - Talia Wolf: The misleading advice in the industry18:19 - Jon MacDonald: Why brands need agentic web data now25:38 - Jon MacDonald: NBA All-Star Weekend hot takes29:22 - Shiva Manjunath: The skeptic's case against agentic web hype37:56 - Shiva Manjunath: If you were a meme38:37 - What's next for No HacksKey TakeawaysAI middleware is coming to every interaction - Chrome has 3 billion browsers, Apple is putting AI into Siri across every device. There will be an AI layer between every user and every website. This is not five years away. It is happening now.Web MCP could make the agentic web actually work - Current AI agents take 3-5 minutes to fill a basic form on well-coded pages. Web MCP provides a standard interface between your front end and AI agents, making interactions reliable regardless of your HTML quality.Optimizing for AI agents is not a separate discipline - A fully functional website built for humans gets you 80-90% there. Accessibility, semantic HTML, schema markup, fast load times. All the basics you felt bad about skipping? They matter now more than ever.Citation tracking in LLMs is misleading - Prompting an LLM 100 times and averaging your position to 4.7 is not useful data. The rankings model does not translate to AI. Bing Webmaster Tools just launched AI tracking in beta, and Google will have to follow. That is when real measurement begins.Getting ready for AI agents means making your website better for humans- There is not a single reason not to do it. Better technical health, better standards compliance, better user experience. The work is the same.This is not about websites going away - Stores did not go away when e-commerce arrived. Websites will not go away when AI agents arrive. But there is a new channel, and if your site is not ready for it, you can disappear from discovery entirely.Guest HostsKelly WorthamFounder of the Test and Learn Community (TLC). Asked about the shift to the agentic web and what makes a great podcast interviewer.Iqbal AliExperimentation and AI consultant, founder of Ressada. Asked about Web MCP and what excites Sani about 2026.Talia WolfCRO expert, founder of GetUplift, author of "Emotional Targeting." Asked about what people miss when optimizing for AI agents and what common industry advice is wrong.Jon MacDonaldFounder of The Good, author of three books on website optimization. Asked about why agentic web data matters for brands and shared NBA All-Star Weekend hot takes.Shiva ManjunathHost of the From A to B podcast. Brought the skeptic's perspective on agentic web hype and asked what meme Sani would be.No Hacks is a podcast about web performance, technical SEO, and the agentic web. Hosted by Slobodan "Sani" Manic.

We are seeing more generative AI in higher ed, but what does it look like when we use it to actually build course elements? In this visual episode, you will hear how we use “vibe coding” (coding by conversation) to create interactive learning materials in D2L Brightspace while still relying on the basics: alignment, accessibility, and thorough testing. You will also see real examples, including a gamified misinformation activity, a simulation built from faculty-provided content, and a simple HTML announcement you can try right away. Watch the video version on Spotify or the Augusta University YouTube channel for the demos.Visit our show page for free access to more content, including the Continuing the Conversation Activity, plus full episodes and additional resources. 

Show DescriptionChris has opinions about being sick, implied target for popovers, should Apple provide cross platform virtual machine images for Safari testing, what tips are there for beginners to HTML and CSS, which website builder CMS's do we recommend, and a Chipotle hack for your lunch plans. Listen on WebsiteWatch on YouTubeLinks The Missing Link for Web Components – Frontend Masters Blog Better defaults for popovers - Manuel Matuzovic 346: With Ben Evans – CodePen Ben Evans on CodePen Pure CSS Only Portrait - Isla Pure CSS Still Life - Water and Lemons A Single Div Webflow Craft CMS Sanity Contentful

Today we are talking about Acquia's Fully managed Drupal SaaS Acquia Source, What you can do with it, and how it could change your organization with guest Matthew Grasmick. We'll also cover AI Single Page Importer as our module of the week. For show notes visit: https://www.talkingDrupal.com/540 Topics Introduction to Acquia Source The Evolution of Acquia Source Cost and Market Position of Acquia Source Customizing and Growing Your Business Challenges of Building a SaaS Platform on Drupal Advantages of Acquia Source for Different Markets Horizontal Scale and Governance at Scale Canvas CLI Tool and Synchronization Role of AI in Acquia Source Agencies and Enterprise Clients AI Experiments and Content Importer AI and Orchestration in Drupal Future Innovations in Acquia Source Resources Acquia source Nebula Guests Matthew Grasmick - grasmash Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Catherine Tsiboukas - mindcraftgroup.com bletch MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to use AI to help map various content on an existing site to structured fields on Drupal site, as part of creating a node? There's a module for that. Module name/project name: AI Single Page Importer Brief history How old: created in Jan 2026 by Mark Conroy (markconroy) who listeners may know from his work on the LocalGov distribution and install profile Versions available: 1.0.0-alpha3, which works with Drupal core 10 or 11 Maintainership Actively maintained Documentation - pretty extensive README, which is also currently in use as the project page No issues yet Usage stats: 2 sites Module features and usage With this module enabled, you'll have a new "AI Content Import" section at the top of the node creation form. In there you can provide the URL of the existing page to use, and then click "Import Content with AI". That will trigger a process where OpenAI will ingest and analyze the existing page. It will extract values to populate your node fields, and then you can review or change those values before saving the node. In the configuration you can specify the AI model to use, a maximum content length, an HTTP request timeout value, which content types should have the importer available, and then also prevent abuse by specifying blocked domains, a flood limit, and a flood window. You will also need to grant a new permission to use the importer for any user roles that should have access. The module also includes a number of safeguards. For example, it will only accept URLs using HTTP or HTTPS protocols, private IP ranges are blocked, and by default it will only allow 5 requests per user per hour. It will perform HTML purification for long text fields, and strip tags for short text fields. In addition, it removes dangerous attributes like onclick or inline javascript, and generates CKEditor-compatible output. It currently supports a list of field types that include text_long, text_with_summary, string, text, datetime, daterange, timestamps and link fields. It also supports entity reference fields, but only for taxonomy terms. Listeners may also be aware of the Unstructured module which does some similar things, but requires you to use an Unstructured service or run a server using their software. So I would say that AI Single Page Importer is perhaps a little more narrow in scope but works with an OpenAI account instead of requiring the less commonly used Unstructured.

This is a recap of the top 10 posts on Hacker News on February 15, 2026. This podcast was generated by wondercraft.ai (00:30): I love the work of the ArchWiki maintainersOriginal post: https://news.ycombinator.com/item?id=47020191&utm_source=wondercraft_ai(01:56): EU bans the destruction of unsold apparel, clothing, accessories and footwearOriginal post: https://news.ycombinator.com/item?id=47025378&utm_source=wondercraft_ai(03:23): I'm joining OpenAIOriginal post: https://news.ycombinator.com/item?id=47028013&utm_source=wondercraft_ai(04:49): Amazon's Ring and Google's Nest reveal the severity of U.S. surveillance stateOriginal post: https://news.ycombinator.com/item?id=47023238&utm_source=wondercraft_ai(06:16): I fixed Windows native developmentOriginal post: https://news.ycombinator.com/item?id=47022891&utm_source=wondercraft_ai(07:42): Oat – Ultra-lightweight, zero dependency, semantic HTML, CSS, JS UI libraryOriginal post: https://news.ycombinator.com/item?id=47021980&utm_source=wondercraft_ai(09:09): Hideki Sato, designer of all Sega's consoles, has diedOriginal post: https://news.ycombinator.com/item?id=47024907&utm_source=wondercraft_ai(10:36): LT6502: A 6502-based homebrew laptopOriginal post: https://news.ycombinator.com/item?id=47025399&utm_source=wondercraft_ai(12:02): Flashpoint Archive – Over 200k web games and animations preservedOriginal post: https://news.ycombinator.com/item?id=47021354&utm_source=wondercraft_ai(13:29): NewPipe: YouTube client without vertical videos and algorithmic feedOriginal post: https://news.ycombinator.com/item?id=47020218&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

Google issued a security update for Chrome to fix a high-severity vulnerability, CVE-2026-2441, which allows remote code execution through a crafted HTML page. The flaw, discovered by Shaheen Fazim, is actively exploited. Users should update Chrome to version 145.0.7632.75/76 for Windows and macOS, and 144.0.7559.75 for Linux. Chromium-based browser users should apply updates. Apple also released patches for a separate zero-day vulnerability affecting its platforms.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Hey dear subscriber, Alex here from W&B, let me catch you up! This week started with Anthropic releasing /fast mode for Opus 4.6, continued with ByteDance reality-shattering video model called SeeDance 2.0, and then the open weights folks pulled up! Z.ai releasing GLM-5, a 744B top ranking coder beast, and then today MiniMax dropping a heavily RL'd MiniMax M2.5, showing 80.2% on SWE-bench, nearly beating Opus 4.6! I've interviewed Lou from Z.AI and Olive from MiniMax on the show today back to back btw, very interesting conversations, starting after TL;DR!So while the OpenSource models were catching up to frontier, OpenAI and Google both dropped breaking news (again, during the show), with Gemini 3 Deep Think shattering the ArcAGI 2 (84.6%) and Humanity's Last Exam (48% w/o tools)... Just an absolute beast of a model update, and OpenAI launched their Cerebras collaboration, with GPT 5.3 Codex Spark, supposedly running at over 1000 tokens per second (but not as smart) Also, crazy week for us at W&B as we scrambled to host GLM-5 at day of release, and are working on dropping Kimi K2.5 and MiniMax both on our inference service! As always, all show notes in the end, let's DIVE IN! ThursdAI - AI is speeding up, don't get left behind! Sub and I'll keep you up to date with a weekly catch upOpen Source LLMsZ.ai launches GLM-5 - #1 open-weights coder with 744B parameters (X, HF, W&B inference)The breakaway open-source model of the week is undeniably GLM-5 from Z.ai (formerly known to many of us as Zhipu AI). We were honored to have Lou, the Head of DevRel at Z.ai, join us live on the show at 1:00 AM Shanghai time to break down this monster of a release.GLM-5 is massive, not something you run at home (hey, that's what W&B inference is for!) but it's absolutely a model that's worth thinking about if your company has on prem requirements and can't share code with OpenAI or Anthropic. They jumped from 355B in GLM4.5 and expanded their pre-training data to a whopping 28.5T tokens to get these results. But Lou explained that it's not only about data, they adopted DeepSeeks sparse attention (DSA) to help preserve deep reasoning over long contexts (this one has 200K)Lou summed up the generational leap from version 4.5 to 5 perfectly in four words: “Bigger, faster, better, and cheaper.” I dunno about faster, this may be one of those models that you hand off more difficult tasks to, but definitely cheaper, with $1 input/$3.20 output per 1M tokens on W&B! While the evaluations are ongoing, the one interesting tid-bit from Artificial Analysis was, this model scores the lowest on their hallucination rate bench! Think about this for a second, this model is neck-in-neck with Opus 4.5, and if Anthropic didn't release Opus 4.6 just last week, this would be an open weights model that rivals Opus! One of the best models the western foundational labs with all their investments has out there. Absolutely insane times. MiniMax drops M2.5 - 80.2% on SWE-bench verified with just 10B active parameters (X, Blog)Just as we wrapped up our conversation with Lou, MiniMax dropped their release (though not weights yet, we're waiting ⏰) and then Olive Song, a senior RL researcher on the team, joined the pod, and she was an absolute wealth of knowledge! Olive shared that they achieved an unbelievable 80.2% on SWE-Bench Verified. Digest this for a second: a 10B active parameter open-source model is directly trading blows with Claude Opus 4.6 (80.8%) on the one of the hardest real-world software engineering benchmark we currently have. While being alex checks notes ... 20X cheaper and much faster to run? Apparently their fast version gets up to 100 tokens/s. Olive shared the “not so secret” sauce behind this punch-above-its-weight performance. The massive leap in intelligence comes entirely from their highly decoupled Reinforcement Learning framework called “Forge.” They heavily optimized not just for correct answers, but for the end-to-end time of task performing. In the era of bloated reasoning models that spit out ten thousand “thinking” tokens before writing a line of code, MiniMax trained their model across thousands of diverse environments to use fewer tools, think more efficiently, and execute plans faster. As Olive noted, less time waiting and fewer tools called means less money spent by the user. (as confirmed by @swyx at the Windsurf leaderboard, developers often prefer fast but good enough models) I really enjoyed the interview with Olive, really recommend you listen to the whole conversation starting at 00:26:15. Kudos MiniMax on the release (and I'll keep you updated when we add this model to our inference service) Big Labs and breaking newsThere's a reason the show is called ThursdAI, and today this reason is more clear than ever, AI biggest updates happen on a Thursday, often live during the show. This happened 2 times last week and 3 times today, first with MiniMax and then with both Google and OpenAI! Google previews Gemini 3 Deep Think, top reasoning intelligence SOTA Arc AGI 2 at 84% & SOTA HLE 48.4% (X , Blog)I literally went

In this episode of Disruption/Interruption, KJ sits down with Julian Circo, Co-Founder of Hyfe, a company revolutionizing respiratory health diagnostics through AI-powered cough monitoring. Julian shares his unconventional journey from humanitarian work in post-conflict zones to building the world's largest cough dataset—over 700 million samples. The conversation explores how Hyfe is transforming coughing from a subjective symptom into an objective, quantifiable biomarker, enabling better research, drug development, and patient care. Julian discusses the challenges of disrupting the conservative pharmaceutical industry, the surprising complexity of measuring coughs, and Hyfe's groundbreaking digital therapeutic for chronic cough sufferers. Four Key Takeaways [0:41] Coughing is Medicine's Most Common Yet Least Understood Symptom - Despite being the single most common symptom in medicine for over a century, medical science still cannot answer basic questions like "what is a normal amount of coughing for a healthy person?" Even top pulmonologists disagree significantly on this fundamental question. [11:27] Building the World's Largest Cough Dataset Required Creative Problem-Solving - Hyfe collected over 700 million cough samples by launching a free consumer app during COVID-19 that monitored coughs in the background. This approach solved the critical challenge of gathering diverse, real-world data across different demographics, environments, and microphones—essential for training accurate AI models. [21:52] Pharma's Resistance to Disruption is Actually Rational - The pharmaceutical industry's notorious resistance to innovation stems from legitimate needs: trials spanning months or years require consistent measurement methods to compare data over time. Hyfe succeeded by "leading with science" rather than pitching disruption, focusing on the measurable value they create. [27:30] A Digital Therapeutic Offers Hope Where 15 Drug Trials Failed - Over the past 13 years, 15 pharmaceutical molecules for chronic cough treatment have failed clinical trials. Hyfe is developing a digital therapeutic based on behavioral cough suppression therapy—similar to physical therapy for joints—that has already shown 40% efficacy in preliminary research, offering hope to the one in ten Americans suffering from chronic cough. Quote of the Show (4:28):"People innovate as a way of life. It’s not a luxury. You have to find ways to communicate. You have to find ways to access goods. You have to find ways to make do…” – Julian Circo Join our Anti-PR newsletter where we’re keeping a watchful and clever eye on PR trends, PR fails, and interesting news in tech so you don't have to. You're welcome. Want PR that actually matters? Get 30 minutes of expert advice in a fast-paced, zero-nonsense session from Karla Jo Helms, a veteran Crisis PR and Anti-PR Strategist who knows how to tell your story in the best possible light and get the exposure you need to disrupt your industry. Click here to book your call: https://info.jotopr.com/free-anti-pr-eval Ways to connect with Julian Circo: LinkedIn: https://www.linkedin.com/in/icirco/Company Website: https://www.hyfe.com/Failed Chronic Cough Candidates: https://support.hyfe.com/hubfs/HTML/failed_antitussives_timeline.htmlCoughPro: https://coughpro.com/ How to get more Disruption/Interruption: Amazon Music - https://music.amazon.com/podcasts/eccda84d-4d5b-4c52-ba54-7fd8af3cbe87/disruption-interruption Apple Podcast - https://podcasts.apple.com/us/podcast/disruption-interruption/id1581985755 Spotify - https://open.spotify.com/show/6yGSwcSp8J354awJkCmJlDSee omnystudio.com/listener for privacy information.

In the 1990s, Microsoft and Netscape fought for control of the browser, the gateway between humans and the internet. Netscape went from 90% market share to zero in five years. Now, with over 30 agentic browsers launching in under 18 months, the same war is playing out again, only this time the stakes are higher. This episode breaks down the 90s browser wars, compares the tactics to what's happening today, and explains what website owners should do about it.Key takeawaysThe playbook hasn't changed - Bundling, free products, proprietary lock-in, and distribution deals decided the 90s browser wars. The same tactics are playing out with agentic browsers today.Google is running Microsoft's 1995 playbook - Microsoft embedded IE into Windows to protect its OS monopoly. Google is embedding Gemini into Chrome to protect its search monopoly. The browser is the defensive weapon, not the product.The Chromium trap is deeper than IE bundling ever was - Most agentic browsers (Comet, Atlas, Neon) run on Google's Chromium engine. Even competitors are built on Google's foundation.The prize shifted from attention to transactions - The 90s fight was about what people see. The agentic browser fight is about what AI agents buy, book, and do on your behalf.Your website is the new Netscape - If AI agents mediate every user interaction, your site risks becoming invisible infrastructure rather than a destination.Regulation will be too late - The DOJ took 6 years to settle with Microsoft. Netscape was already dead. The same timeline is playing out with Google's antitrust case.What to do todayDon't optimize for one agentic browser. Build for web standards: semantic HTML, ARIA labels, structured data, server-side rendering.Build direct audience relationships (email, communities, subscriptions) so you're not dependent on browser intermediaries.Make your site worth visiting, not just worth scraping. Offer value an AI agent can't replicate.Treat accessibility as an agent strategy. Screen reader compatibility = AI agent compatibility.Test your site with an agentic browser to see what works and what breaks.Read the full agentic browser landscape breakdown: nohackspod.com/blog/agentic-browser-landscape-2026Chapters00:00 - Introduction01:34 - The First Browser War09:15 - The Agentic Browser Explosion12:48 - Why Is This Happening Now?16:15 - Where the 2026 Version Gets Worse21:27 - What This Means for Your Website23:14 - What to Do About It26:49 - ClosingConnectWebsite: https://nohackspod.comLinkedIn: https://www.linkedin.com/in/slobodanmanic/Newsletter: https://nohackspod.com/subscribeNo Hacks is a podcast about web performance, technical SEO, and the agentic web. Hosted by Slobodan "Sani" Manic.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Larry Swanson, a knowledge architect, community builder, and host of the Knowledge Graph Insights podcast. They explore the relationship between knowledge graphs and ontologies, why these technologies matter in the age of AI, and how symbolic AI complements the current wave of large language models. The conversation traces the history of neuro-symbolic AI from its origins at Dartmouth in 1956 through the semantic web vision of Tim Berners-Lee, examining why knowledge architecture remains underappreciated despite being deployed at major enterprises like Netflix, Amazon, and LinkedIn. Swanson explains how RDF (Resource Description Framework) enables both machines and humans to work with structured knowledge in ways that relational databases can't, while Alsop shares his journey from knowledge management director to understanding the practical necessity of ontologies for business operations. They discuss the philosophical roots of the field, the separation between knowledge management practitioners and knowledge engineers, and why startups often overlook these approaches until scale demands them. You can find Larry's podcast at KGI.fm or search for Knowledge Graph Insights on Spotify and YouTube.Timestamps00:00 Introduction to Knowledge Graphs and Ontologies01:09 The Importance of Ontologies in AI04:14 Philosophy's Role in Knowledge Management10:20 Debating the Relevance of RDF15:41 The Distinction Between Knowledge Management and Knowledge Engineering21:07 The Human Element in AI and Knowledge Architecture25:07 Startups vs. Enterprises: The Knowledge Gap29:57 Deterministic vs. Probabilistic AI32:18 The Marketing of AI: A Historical Perspective33:57 The Role of Knowledge Architecture in AI39:00 Understanding RDF and Its Importance44:47 The Intersection of AI and Human Intelligence50:50 Future Visions: AI, Ontologies, and Human BehaviorKey Insights1. Knowledge Graphs Combine Structure and Instances Through Ontological Design. A knowledge graph is built using an ontology that describes a specific domain you want to understand or work with. It includes both an ontological description of the terrain—defining what things exist and how they relate to one another—and instances of those things mapped to real-world data. This combination of abstract structure and concrete examples is what makes knowledge graphs powerful for discovery, question-answering, and enabling agentic AI systems. Not everyone agrees on the precise definition, but this understanding represents the practical approach most knowledge architects use when building these systems.2. Ontology Engineering Has Deep Philosophical Roots That Inform Modern Practice. The field draws heavily from classical philosophy, particularly ontology (the nature of what you know), epistemology (how you know what you know), and logic. These thousands-year-old philosophical frameworks provide the rigorous foundation for modern knowledge representation. Living in Heidelberg surrounded by philosophers, Swanson has discovered how much of knowledge graph work connects upstream to these philosophical roots. This philosophical grounding becomes especially important during times when institutional structures are collapsing, as we need to create new epistemological frameworks for civilization—knowledge management and ontology become critical tools for restructuring how we understand and organize information.3. The Semantic Web Vision Aimed to Transform the Internet Into a Distributed Database. Twenty-five years ago, Tim Berners-Lee, Jim Hendler, and Ora Lassila published a landmark article in Scientific American proposing the semantic web. While Berners-Lee had already connected documents across the web through HTML and HTTP, the semantic web aimed to connect all the data—essentially turning the internet into a giant database. This vision led to the development of RDF (Resource Description Framework), which emerged from DARPA research and provides the technical foundation for building knowledge graphs and ontologies. The origin story involved solving simple but important problems, like disambiguating whether "Cook" referred to a verb, noun, or a person's name at an academic conference.4. Symbolic AI and Neural Networks Represent Complementary Approaches Like Fast and Slow Thinking. Drawing on Kahneman's "thinking fast and slow" framework, LLMs represent the "fast brain"—learning monsters that can process enormous amounts of information and recognize patterns through natural language interfaces. Symbolic AI and knowledge graphs represent the "slow brain"—capturing actual knowledge and facts that can counter hallucinations and provide deterministic, explainable reasoning. This complementarity is driving the re-emergence of neuro-symbolic AI, which combines both approaches. The fundamental distinction is that symbolic AI systems are deterministic and can be fully explained, while LLMs are probabilistic and stochastic, making them unsuitable for applications requiring absolute reliability, such as industrial robotics or pharmaceutical research.5. Knowledge Architecture Remains Underappreciated Despite Powering Major Enterprises. While machine learning engineers currently receive most of the attention and budget, knowledge graphs actually power systems at Netflix (the economic graph), Amazon (the product graph), LinkedIn, Meta, and most major enterprises. The technology has been described as "the most astoundingly successful failure in the history of technology"—the semantic web vision seemed to fail, yet more than half of web pages now contain RDF-formatted semantic markup through schema.org, and every major enterprise uses knowledge graph technology in the background. Knowledge architects remain underappreciated partly because the work is cognitively difficult, requires talking to people (which engineers often avoid), and most advanced practitioners have PhDs in computer science, logic, or philosophy.6. RDF's Simple Subject-Predicate-Object Structure Enables Meaning and Data Linking. Unlike relational databases that store data in tables with rows and columns, RDF uses the simplest linguistic structure: subject-predicate-object (like "Larry knows Stuart"). Each element has a unique URI identifier, which permits precise meaning and enables linked data across systems. This graph structure makes it much easier to connect data after the fact compared to navigating tabular structures in relational databases. On top of RDF sits an entire stack of technologies including schema languages, query languages, ontological languages, and constraints languages—everything needed to turn data into actionable knowledge. The goal is inferring or articulating knowledge from RDF-structured data.7. The Future Requires Decoupled Modular Architectures Combining Multiple AI Approaches. The vision for the future involves separation of concerns through microservices-like architectures where different systems handle what they do best. LLMs excel at discovering possibilities and generating lists, while knowledge graphs excel at articulating human-vetted, deterministic versions of that information that systems can reliably use. Every one of Swanson's 300 podcast interviews over ten years ultimately concludes that regardless of technology, success comes down to human beings, their behavior, and the cultural changes needed to implement systems. The assumption that we can simply eliminate people from processes misses that huma...

In the rapidly evolving landscape of corporate training, artificial intelligence (AI) has emerged as a transformative force, streamlining processes and enhancing the effectiveness of learning initiatives. The integration of AI into corporate training is not just a trend; it represents a fundamental shift in how organizations approach employee development. Lorenzo Pria, Business Developer for WhoTeach, explores the ways in which AI simplifies corporate training processes, through the company at the forefront of this innovation.AI Simplifies Corporate Training ProcessesAt the heart of WhoTeach's approach is a digital learning platform that leverages AI to address the complexities of corporate training. Traditionally, creating effective training programs has been a labor-intensive process, often requiring significant time and resources to develop relevant content. However, WhoTeach's platform introduces a two-pronged solution that fundamentally alters this paradigm. The first component is a recommendation system that curates valuable resources based on user preferences, including categories, difficulty levels, and languages. This system significantly reduces the time spent searching for appropriate training materials, allowing educators and corporate trainers to focus on the actual delivery of content rather than its preparation.The second component of WhoTeach's innovative platform is generative AI, which enables users to create customized training materials in a matter of minutes. By inputting selected resources into the generative AI, users can quickly generate presentations, quizzes, and assessments in formats such as HTML or PowerPoint. This capability not only accelerates the course creation process but also enhances the quality of training programs by ensuring that the content is tailored to the specific needs of the organization. As Lorenzo points out, the ability to produce a comprehensive course in 10 to 15 minutes is nothing short of astonishing, making AI an invaluable asset in the realm of corporate training.Predictint Future Training NeedsThe implications of this technology extend beyond mere efficiency; they also address some of the inherent challenges in corporate training. One of the key issues is the quality of suggested resources. Often, individuals may articulate their training needs inaccurately, leading to a mismatch between available resources and actual requirements. AI's ability to analyze vast datasets allows it to discern patterns and provide recommendations that may better align with the underlying needs of the organization, even when those needs are not explicitly stated by users. This data-driven approach enhances the effectiveness of training programs, ensuring that employees receive the most relevant and impactful learning experiences.Moreover, the scalability of AI-driven training solutions is a significant advantage for organizations of all sizes. As Lorenzo notes, the total addressable market for such technologies is estimated to reach around three billion, with the education technology market projected to grow to 600 billion by 2032. This growth indicates a robust demand for AI-driven solutions that can cater to diverse industries, from manufacturing to healthcare and logistics. By simplifying the training process, AI enables organizations to invest in employee development more effectively, ultimately leading to improved productivity and performance.While the potential of AI in corporate training is vast, it is not without its challenges. Lorenzo emphasizes the importance of having a quality dataset to ensure the effectiveness of AI recommendations. Companies must be willing to invest in the necessary resources and data collection processes to maximize the benefits of AI-driven training solutions. Furthermore, as organizations seek to implement these technologies, they must also consider the need for ongoing support and training for their employees to adapt to new systems and methodologies.ConclusionIn conclusion, AI is revolutionizing corporate training processes by simplifying course creation, enhancing resource recommendations, and providing scalable solutions that cater to a variety of industries. As demonstrated by WhoTeach's innovative platform, the integration of AI not only streamlines the training process but also improves the quality and relevance of learning experiences. As organizations increasingly recognize the value of AI in employee development, the future of corporate training promises to be more efficient, effective, and tailored to the unique needs of each organization. Embracing these advancements will be crucial for companies aiming to foster a culture of continuous learning and adaptability in an ever-changing business landscape.Interview by Scott Ertz of PLUGHITZ Live.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

In the rapidly evolving landscape of corporate training, artificial intelligence (AI) has emerged as a transformative force, streamlining processes and enhancing the effectiveness of learning initiatives. The integration of AI into corporate training is not just a trend; it represents a fundamental shift in how organizations approach employee development. Lorenzo Pria, Business Developer for WhoTeach, explores the ways in which AI simplifies corporate training processes, through the company at the forefront of this innovation.AI Simplifies Corporate Training ProcessesAt the heart of WhoTeach's approach is a digital learning platform that leverages AI to address the complexities of corporate training. Traditionally, creating effective training programs has been a labor-intensive process, often requiring significant time and resources to develop relevant content. However, WhoTeach's platform introduces a two-pronged solution that fundamentally alters this paradigm. The first component is a recommendation system that curates valuable resources based on user preferences, including categories, difficulty levels, and languages. This system significantly reduces the time spent searching for appropriate training materials, allowing educators and corporate trainers to focus on the actual delivery of content rather than its preparation.The second component of WhoTeach's innovative platform is generative AI, which enables users to create customized training materials in a matter of minutes. By inputting selected resources into the generative AI, users can quickly generate presentations, quizzes, and assessments in formats such as HTML or PowerPoint. This capability not only accelerates the course creation process but also enhances the quality of training programs by ensuring that the content is tailored to the specific needs of the organization. As Lorenzo points out, the ability to produce a comprehensive course in 10 to 15 minutes is nothing short of astonishing, making AI an invaluable asset in the realm of corporate training.Predictint Future Training NeedsThe implications of this technology extend beyond mere efficiency; they also address some of the inherent challenges in corporate training. One of the key issues is the quality of suggested resources. Often, individuals may articulate their training needs inaccurately, leading to a mismatch between available resources and actual requirements. AI's ability to analyze vast datasets allows it to discern patterns and provide recommendations that may better align with the underlying needs of the organization, even when those needs are not explicitly stated by users. This data-driven approach enhances the effectiveness of training programs, ensuring that employees receive the most relevant and impactful learning experiences.Moreover, the scalability of AI-driven training solutions is a significant advantage for organizations of all sizes. As Lorenzo notes, the total addressable market for such technologies is estimated to reach around three billion, with the education technology market projected to grow to 600 billion by 2032. This growth indicates a robust demand for AI-driven solutions that can cater to diverse industries, from manufacturing to healthcare and logistics. By simplifying the training process, AI enables organizations to invest in employee development more effectively, ultimately leading to improved productivity and performance.While the potential of AI in corporate training is vast, it is not without its challenges. Lorenzo emphasizes the importance of having a quality dataset to ensure the effectiveness of AI recommendations. Companies must be willing to invest in the necessary resources and data collection processes to maximize the benefits of AI-driven training solutions. Furthermore, as organizations seek to implement these technologies, they must also consider the need for ongoing support and training for their employees to adapt to new systems and methodologies.ConclusionIn conclusion, AI is revolutionizing corporate training processes by simplifying course creation, enhancing resource recommendations, and providing scalable solutions that cater to a variety of industries. As demonstrated by WhoTeach's innovative platform, the integration of AI not only streamlines the training process but also improves the quality and relevance of learning experiences. As organizations increasingly recognize the value of AI in employee development, the future of corporate training promises to be more efficient, effective, and tailored to the unique needs of each organization. Embracing these advancements will be crucial for companies aiming to foster a culture of continuous learning and adaptability in an ever-changing business landscape.Interview by Scott Ertz of PLUGHITZ Live.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. Secure your connection and unlock a faster, safer internet by signing up for PureVPN today.

Topics covered in this episode: django-bolt: Faster than FastAPI, but with Django ORM, Django Admin, and Django packages pyleak More Django (three articles) Datastar Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Brian #1: django-bolt : Faster than FastAPI, but with Django ORM, Django Admin, and Django packages Farhan Ali Raza High-Performance Fully Typed API Framework for Django Inspired by DRF, FastAPI, Litestar, and Robyn Django-Bolt docs Interview with Farhan on Django Chat Podcast And a walkthrough video Michael #2: pyleak Detect leaked asyncio tasks, threads, and event loop blocking with stack trace in Python. Inspired by goleak. Has patterns for Context managers decorators Checks for Unawaited asyncio tasks Threads Blocking of an asyncio loop Includes a pytest plugin so you can do @pytest.mark.no_leaks Brian #3: More Django (three articles) Migrating From Celery to Django Tasks Paul Taylor Nice intro of how easy it is to get started with Django Tasks Some notes on starting to use Django Julia Evans A handful of reasons why Django is a great choice for a web framework less magic than Rails a built-in admin nice ORM automatic migrations nice docs you can use sqlite in production built in email The definitive guide to using Django with SQLite in production I'm gonna have to study this a bit. The conclusion states one of the benefits is “reduced complexity”, but, it still seems like quite a bit to me. Michael #4: Datastar Sent to us by Forrest Lanier Lots of work by Chris May Out on Talk Python soon. Official Datastar Python SDK Datastar is a little like HTMX, but The single source of truth is your server Events can be sent from server automatically (using SSE) e.g yield SSE.patch_elements( f"""{(#HTML#)}{datetime.now().isoformat()}""" ) Why I switched from HTMX to Datastar article Extras Brian: Django Chat: Inverting the Testing Pyramid - Brian Okken Quite a fun interview PEP 686 – Make UTF-8 mode default Now with status “Final” and slated for Python 3.15 Michael: Prayson Daniel's Paper tracker Ice Cubes (open source Mastodon client for macOS) Rumdl for PyCharm, et. al cURL Gets Rid of Its Bug Bounty Program Over AI Slop Overrun Python Developers Survey 2026 Joke: Pushed to prod

Christina Ziroli-Leaman is a social media strategist who got her start in social by manipulating HTML on Myspace to make her profile pink and sparkly. Fast forward 20 years, and now she gets to do what she loves for a living, every single day, which she's eternally grateful for. Her experience spans edtech, higher education, and manufacturing - proving that great storytelling works anywhere there's a human on the other side of the screen. Christina believes that in a world that can feel heavy, social media should be a place for light and joy, where humor, empathy, and the occasional meme remind us we're all still connected. She lives in Birmingham, AL, with her husband Matt, their 7 month old daughter Naomi, their crazy dog Zelda and their sweet parrot Juju. When she's offline, you can find her reading and sipping coffee while snuggling her daughter. Her favorite pizza topping is pepperoni, her favorite thing in life is family and her fun fact? She once wrote Harry Potter fanfiction on Quizilla and honestly, the storytelling hasn't stopped since.

Your website might rank #1 on Google but be completely invisible to ChatGPT, Claude, and Perplexity. In this episode, let's break down why a huge chunk of the web is fundamentally broken for AI systems - not because of bad content, but because of technical decisions that made sense for humans but make sites invisible to the AI systems rapidly becoming the front door to the internet.Chapter Timestamps00:00:00 - Introduction: The new game your website is losing00:01:43 - The Scale of the Problem: AI crawler traffic explosion00:05:19 - The JavaScript Problem: Why AI crawlers can't see your content00:10:28 - The Bot Protection Paradox: Accidentally blocking AI00:14:40 - The Speed Requirement: Why 200ms matters00:17:46 - AI Agents Are Struggling Too: Browser agents and their limitations00:20:46 - How to Fix It: 6 things you need to do00:25:33 - Closing: The web is adapting againKey Statistics569 million GPTBot requests on Vercel's network in a single month370 million ClaudeBot requests in the same period305% growth in GPTBot traffic (May 2024 to May 2025)157,000% increase in PerplexityBot requests year-over-year33% of organic search activity now comes from AI agents~40% failure rate for the best AI browser agents on complex tasksThe 6 Things to FixImplement Server-Side Rendering (SSR) - If your site uses a JavaScript framework (React, Vue, Angular) with client-side rendering, switch to SSR or static site generation immediately. Use Next.js, Nuxt, or a pre-rendering service.Add Structured Data with JSON-LD - Expose key information in machine-readable format using schema.org markup. Microsoft confirmed Bing uses this to help Copilot understand content.Optimize for Speed - Target server response time under 200ms. First Contentful Paint under 1 second. Largest Contentful Paint under 2.5 seconds.Check Your Bot Protection Settings - Review Cloudflare, AWS WAF, or your CDN's bot management. Make a deliberate decision about GPTBot, ClaudeBot, and PerplexityBot access.Kill Infinite Scroll and Lazy Loading for Content - Use paginated URLs with standard HTML links. Ensure high-value content is in the initial HTML response.Keep Sitemaps Current - Maintain proper redirects, consistent URL patterns, and fix broken links.Tools MentionedGlimpse - Free tool to test how AI sees your website: glimpse.webperformancetools.comShow LinksSources Referenced in This EpisodeAI Crawler Statistics:Vercel Blog - The Rise of the AI CrawlerCloudflare 2025 Year in ReviewCloudflare - From Googlebot to GPTBotSearch Engine Land - AI Optimization GuideJavaScript Rendering:Prerender.io - Understanding Web CrawlersSearch Engine Journal - Enterprise SEO Trends 2026No Hacks is a podcast about web performance, technical SEO, and the agentic web. Hosted by Slobodan "Sani" Manic.

Join Christina Warren and Brett Terpstra as they navigate the freezing Minnesotan cold without running water, delve into the intersection of tech and political turmoil, and explore the latest in AI agents and multi-agent workflows. Dive into a whirlwind of emotions, tech tips, and political ranting, all while contemplating the ethics of open source funding and AI coding. From brutal weather updates to philosophical debates on modern fascism, this episode pulls no punches. Sponsor Copilot Money can help you take control of your finances. Get a fresh start with your money for 2026 with 2 months free when you visit try.copilot.money/overtired. Show Links Crimethinc: Being “Peaceful” and “Law-Abiding” Will Not Stop Authoritarianism Gas Town Apex OpenCode Backdrop Cindori Sensei Moltbot Chapters 00:00 Introduction and Host Updates 00:21 Brett’s Water Crisis 02:27 Political Climate and Media Suppression 06:32 Police Violence and Public Response 18:31 Social Media and Surveillance 22:15 Sponsor Break: Copilot Money 26:20 Tech Talk: Gas Town and AI Agents 31:58 Crypto Controversies 37:09 Ethics in Journalism and Personal Dilemmas 39:45 The Future of Open Source and Cryptocurrency 45:03 Apex 1.0? 48:25 Challenges and Innovations in Markdown Processing 01:02:16 AI in Coding and Personal Assistants 01:06:36 GrAPPtitude 01:14:40 Conclusion and Upcoming Plans Join the Conversation Merch Come chat on Discord! Twitter/ovrtrd Instagram/ovrtrd Youtube Get the Newsletter Thanks! You’re downloading today’s show from CacheFly’s network BackBeat Media Podcast Network Check out more episodes at overtiredpod.com and subscribe on Apple Podcasts, Spotify, or your favorite podcast app. Find Brett as @ttscoff, Christina as @film_girl, Jeff as @jsguntzel, and follow Overtired at @ovrtrd on Twitter. Transcript AI Agents and Political Chaos Introduction and Host Updates Christina: [00:00:00] Welcome back. You’re listening to Overtired. I’m Christina Warren. Joined as always by Brett Terpstra. Jeff Severns. Guntzel could not be with us this week, um, but uh, but Brett and I are here. So Brett, how are you? How’s the cold? Brett: The cold. Brett’s Water Crisis Brett: So I’m going on day four without running water. Um, I drove to my parents last night to shower and we’re, we’re driving loads of dishes to friends’ house to wash them. We have big buckets of melted snow in our bathtub that we use to flush the Toyland. Um, and we have like big jugs with a spout on them for drinking water. So we’re surviving, but it is highly inconvenient. Um, and we don’t know yet if it’s a frozen pipe. Or if we have [00:01:00] a bad pump on our, well, uh, hopefully we’ll find that out today. But no guarantees because all the plumbers are very busy right now with negative 30 degree weather. They tend to get a lot of calls, lots of stuff happens. Um, so yeah, but I’m, I’m staying warm. I got a fireplace, I got my heat’s working Christina: I mean, that’s the important thing. Brett: and that went out, that went out twice, in, twice already. This winter, our heat has gone out, um, which I’m thankful. We, we finally, we added glycol to our, so our heat pumps water through, like, it’s not radiators, it’s like baseboard heat, but it, it uses water and. Um, and though we were getting like frozen spots, not burst pipes, just enough that the water wouldn’t go through fast enough to heat anything. So we added glycol to that [00:02:00] system to bring the freeze point down to like zero degrees. So it’s not perfect, but we also hardwired the pump so that it always circulates water, um, even when the heat’s not running. So hopefully it’ll never freeze again. That’s the goal. Um, and if we replace the well pump, that should be good for another 20 years. So hopefully after this things will be smoother. Political Climate and Media Suppression Brett: Um, yeah, but that, that’s all in addition to, you know, my state being occupied by federal agents and even in my small town, we’ve got people being like, abducted. Things are escalating quickly at this point, and a lot of it doesn’t get talked about on mainstream media. Um, but yeah, things, I don’t know, man. I think we’re making progress because, um, apparently Binos [00:03:00] getting retired Christina: I was going to say, I, I, I, I heard, I heard that, and I don’t know if that’s good or if that’s bad. Um, I can’t, I can’t tell. Brett: it’s, it’s like, it’s like if Trump died, we wouldn’t know if that was good or bad because JD Vance as president, like maybe things get way worse. Who knows? Uh, none of these, none of these actual figureheads are the solution. Removing them isn’t the solution to removing the kinda maga philosophy behind it. But yeah, and that’s also Jeff is, you know, highly involved and I, I won’t, I won’t talk about that for him. I hope we can get him monsoon to talk about that. Christina: No, me, me, me too. Because I’ve, I’ve been thinking about, about him and about you and about your whole area, your communities, you know, from several thousand miles away. Like all, all we, all we see is either what people post online, which of course now is being suppressed. [00:04:00] Uh, thanks a lot. You know, like, like the, oh, TikTok was gonna be so terrible. Chi the, the Chinese are gonna take over our, uh, our algorithms. Right? No, Larry Ellison is, is actually going to completely, you know, fuck up the algorithms, um, and, and suppress anything. I, yeah. Yeah. They’re, they’re Brett: is TikTok? Well, ’cause Victor was telling me that, they were seeing videos. Uh, you would see one frame of the video and then it would black out. And it all seemed to be videos that were negative towards the administration and we weren’t sure. Is this a glitch? Is this coincidence? Christina: well, they claim it’s a glitch, but I don’t believe it. Brett: Yeah, it seems, it seems Christina: I, I mean, I mean, I mean, the thing is like, maybe it is, maybe it is a glitch and we’re overreacting. I don’t know. Um, all I know is that they’ve given us absolutely zero reason to trust them, and so I don’t, and so, um, uh, apparently the, the state of California, this is, [00:05:00] so we are recording this on Tuesday morning. Apparently the state of California has said that they are going to look into whether things are being, you know, suppressed or not, and if that’s violating California law, um, because now that, that, that TikTok is, is controlled by an American entity, um, even if it is, you know, owned by like a, you know, uh, evil, uh, billionaire, you know, uh, crony sto fuck you, Larry Ellison. Um, uh, I guess that means we won’t be getting an Oracle sponsorship. Sorry. Um, uh, Brett: take it anyway. Christina: I, I know you wouldn’t, I know you wouldn’t. That’s why I felt safe saying that. Um, but, uh, but even if, if, if that were the case, like I, you know, but apparently like now that it is like a, you know, kind of, you know, state based like US thing, like California could step in and potentially make things difficult for them. I mean, I think that’s probably a lot of bluster on Newsom’s part. I don’t think that he could really, honestly achieve any sort of change if they are doing things to the algorithm. Brett: Yeah. Uh, [00:06:00] if, if laws even matter anymore, it would be something that got tied up in court for a long time Christina: Right. Which effectively wouldn’t matter. Right. And, and then that opens up a lot of other interesting, um, things about like, okay, well, you know, should we, like what, what is the role? Like even for algorithmically determined things of the government to even step in or whatever, right now, obviously does, I think, become like more of a speech issue if it’s government speech that’s being suppressed, but regardless, it, it is just, it’s bad. So I’ve been, I’ve been thinking about you, I’ve been thinking about Jeff. Police Violence and Public Response Christina: Um, you know, we all saw what happened over the weekend and, and, you know, people be, people are being murdered in the streets and I mean that, that, that’s what’s happening. And, Brett: white people no less, Christina: Right. Well, I mean, that’s the thing, right? Like, is that like, but, but, but they keep moving the bar. They, they keep moving the goalpost, right? So first it’s a white woman and, oh, she, she was, she was running over. The, the officer [00:07:00] or the ice guy, and it’s like, no, she wasn’t, but, but, but that, that’s immediately where they go and, and she’s, you know, radical whatever and, and, and a terrorist and this and that. Okay. Then you have a literal veterans affair nurse, right? Like somebody who literally, like, you know, has, has worked with, with, with combat veterans and has done those things. Who, um, is stepping in to help someone who’s being pepper sprayed, you know, is, is just observing. And because he happens to have, um, a, a, a, a gun on him legally, which he’s allowed to do, um, they immediately used that as cover to execute him. But if he hadn’t had the gun, they would’ve, they would’ve come up with something else. Oh, we thought he had a gun, and they, you know what I mean? So like, they, they got lucky with that one because they removed the method, the, the, the weapon and then shot him 10 times. You know, they literally executed him in the street. But if he hadn’t had a gun, they still would’ve executed. Brett: Yeah, no, for sure. Um, it’s really frustrating that [00:08:00] they took the gun away. So he was disarmed and, and immobilized and then they shot him. Um, like so that’s just a straight up execution. And then to bring, like, to say that it, he, because he had a gun, he was dangerous, is such a, an affront to America has spent so long fighting against gun control and saying that we had the right to carry fucking assault rifles in the Christina: Kyle Rittenhouse. Kyle Rittenhouse was literally acquitted. Right? Brett: Yeah. And he killed people. Christina: and, and he killed people. He was literally walking around little fucking stogey, you know, little blubbering little bitch, like, you know, crying, you know, he’s like carrying around like Rambo a gun and literally snipe shooting people. That’s okay. Brett: They defended Christina: if you have a. They defended him. Of course they did. Right? Of course they did. Oh, well he has the right to carry and this and that, and Oh, you should be able to be armed in [00:09:00] these places. Oh, no, but, but if you’re, um, somebody that we don’t like Brett: Yeah, Christina: and you have a concealed carry permit, and I don’t even know if he was really concealed. Right. Because I think that if you have it on your holster, I don’t even think that counts as concealed to Brett: was supposedly in Christina: I, I, I don’t, I don’t, I don’t. Brett: like it Christina: Which I don’t think counts as concealed. I think. Brett: No. Christina: Right, right. So, so, so, so, so that, that, that wouldn’t be concealed. Be because you have someone in, in that situation, then all of a sudden, oh, no. Now, now the, the key, the goalpost, okay, well, it’s fine if it’s, you know, uh, police we don’t like, or, or other people. And, and, and if you’re going after protesters, then you can shoot and kill whoever you want, um, because you’ve perceived a threat and you can take actions into your, to your own hands. Um, but now if you are even a white person, um, even, you know, someone who’s, who’s worked in Veterans Affairs, whatever, if, if you have, uh, even if you’re like a, a, a, you know, a, a gun owner and, and have permits, um, now [00:10:00] if we don’t like you and you are anywhere in the vicinity of anybody associated with law enforcement, now they have the right to shoot you dead. Like that’s, that’s, that’s the argument, which is insanity. Brett: so I’m, I’m just gonna point out that as the third right came to power, they disarmed the Jews and they disarmed the anarchists and the socialists and they armed the rest of the population and it became, um, gun control for people they didn’t like. Um, and this is, it’s just straight up the same playbook. There’s no, there’s no differentiation anymore. Christina: No, it, it, it actively makes me angry that, um, I, I could be, because, ’cause what can we do? And, and what they’re counting on is the fact that we’re all tired and we’re all kind of, you know, like just, [00:11:00] you know, from, from what happened, you know, six years ago and, and, and what happened, you know, five years ago. Um, and, and, and various things. I think a lot of people are, are just. It kind of like Brett: Sure. Christina: done with, with, with being able to, to, to, right. But now the actual fascism is here, right? Like, like we, we, we saw a, a, you know, a whiff of this on, on, on January 6th, but now it’s actual fascism and they control every branch of government. Brett: Yeah. Christina: And, um, and, and, and I, and I don’t know what we’re supposed to do, right? Like, I mean it, because I mean, you know, uh, Philadelphia is, is, is begging for, for, for them to come. And I think that would be an interesting kind of standoff. Seattle is this, this is what a friend of mine said was like, you know, you know Philadelphia, Filch Philadelphia is begging them to come. Seattle is like scared. Um, that, that they’re going to come, um, because honestly, like we’re a bunch of little bitch babies and, um, [00:12:00] people think they’re like, oh, you know the WTO. I’m like, yeah, that was, that was 27 years ago. Um, uh, I, I don’t think that Seattle has the juice to hold that sort of line again. Um, but I also don’t wanna find out, right? Like, but, but, but this is, this is the attack thing. It’s like, okay, why are they in Minnesota? Right? They’re what, like 130,000, um, Brett: exactly Christina: um, immigrants in, in Minnesota. There are, there are however many million in Texas, however many million in Florida. We know exactly why, right? This isn’t about. Anything more than Brett: in any way. Christina: and opt. Right, right. It has nothing, it has nothing to do with, with, with immigration anyway. I mean, even, even the Wall Street Journal. The Wall Street Journal who a, you know, ran an op-ed basically saying get out of Minnesota. They also, they also had like a, you know, a news story, which was not from the opinion board, which like broke down the, the, the footage showing, you know, that like the, the video footage doesn’t match the administration’s claims, but they also ran a story. Um, that [00:13:00] basically did the math, I guess, on like the number of, of criminals, um, or people with criminal records who have been deported. And at this point, like in, you know, and, and when things started out, like, I guess when the raid started out, the, the majority of the people that they were kind of going after were people who had criminal records. Now, whether they were really violent, the worst, the worst, I mean that’s, I’m, I’m not gonna get into that, but you could at least say like, they, they could at least say, oh, well these were people who had criminal records, whatever. Now some, some huge percentage, I think it’s close to 80% don’t have anything. And many of the people that do the, the criminal like thing that they would hold would be, you know, some sort of visa violation. Right. So it’s, it’s, it’s Brett: they deported a five-year-old kid after using him as bait to try to get the rest of his family. Christina: as bait. Brett: Yeah. And like it’s, it’s pretty deplorable. But I will say I am proud of Minnesota. Um, they have not backed [00:14:00] down. They have stood up in the face of increasing increasingly escalated attacks, and they have shown up in force thousands of people out in the streets. Like Conti, like last night they had a, um, well, yeah, I mean, it’s been ongoing, but, uh, what’s his name? Preddy Alex. Um, at the place where he was shot, they had a, like continuing kind of memorial protest, I guess, and there’s footage of like a thousand, a thousand mins surrounding about 50, um, ICE agents and. Like basically corralling them to the point where they were all backed into a corner and weren’t moving. And I don’t know what happened after that. Um, but thus far it hasn’t been violent on the part of protesters. It’s been very violent on the part of ice. I [00:15:00] personally, I don’t know where I stand on, like, I feel like the Democrats are urging pacifism because it affects their hold on power. And I don’t necessarily think that peace when they’re murdering us in the street. I don’t know if peace is the right response, but I don’t know. I’m not openly declaring that I support violence at this point, but. At the same time, do I not? I’m not sure. Like I keep going back and forth on is it time for a war or do we try to vote our way out of this? Christina: I mean, well, and the scary thing about voting our way out of this is will we even be able to have free elections, right? Be because they’re using any sort of anything, even the most benign sort of legal [00:16:00] protest, even if violence isn’t involved in all of a sudden, talks of the Insurrection Act come Brett: yeah. And Trump, Trump offered to pull out of Minnesota if Minnesota will turn over its voter database to the federal government. Like that’s just blatant, like that’s obviously the end goal is suppression. Christina: Right, right. And, and so to your point, I don’t know. Right. And I’m, I’m never somebody who would wanna advocate outwardly for violence, but I, I, I, I, I don’t know. I mean, they’re killing citizens in the streets. They’re assassinating people in cold blood. They’re executing people, right. That’s what they’re doing. They’re literally executing people in the streets and then covering it up in real time. Brett: if the argument is, if we are violent, it will cause them to kill us. They’re already killing Christina: already doing it. Right. So at, at this point, I mean, like, you know, I mean, like, w to your point, wars have been started for, for, for less, or for the exact same things. Brett: [00:17:00] Yeah. Christina: So, I don’t know. I don’t know. Um, I know that that’s a depressing way to probably do mental health corner and whatnot, but this is what’s happening in our world right now and in and in your community, and it’s, it’s terrifying. Brett: I’m going to link in the show notes an article from Crime Think that was written by, uh, people in Germany who have studied, um, both historical fascism and the current rise of the A FD, which will soon be the most powerful party in Germany, um, which is straight up a Nazi party. Um, and it, they offered, like their hope right now lies in America stopping fascism. Christina: Yeah. Brett: Like if we can, if we can stop fascism, then they believe the rest of Europe can stop fascism. Um, but like they, it, it’s a good article. It kind of, it kind of broaches the same questions I do about like, is it [00:18:00] time for violence? And they offer, like, we don’t, we’re not advocating for a civil war, but like Civil wars might. If you, if you, if you broach them as revolutions, it’s kind of, they’re kind of the same thing in cases like this. So anyway, I’ll, I’ll link that for anyone who wants to read kinda what’s going on in my head. I’m making a note to dig that up. I, uh, I love Crime Fake Oh and Blue Sky. Social Media and Surveillance Brett: Um, so I have not, up until very recently been an avid Blue Sky user. Um, I think I have like, I think I have maybe like 200 followers there and I follow like 50 people. But I’ve been expanding that and I am getting a ton of my news from Blue Sky and like to get stories from people on the ground, like news as it happens, unfiltered and Blue Sky has been [00:19:00] really good for that. Um, I, it’s. There’s not like an algorithm. I just get my stuff and like Macedon, I have a much larger following and I follow a lot more people, but it’s very tech, Christina: It’s very tech and, Brett: there for. Christina: well, and, and MAs on, um, understandably too is also European, um, in a lot of regards. And so it’s just, it’s not. Gonna have the same amount of, of people who are gonna be able to, at least for instances like this, like be on the ground and doing real-time stuff. It’s not, it doesn’t have like the more normy stuff. So, no, that makes sense. Um, no, that’s great. I think, yeah, blue Sky’s been been really good for, for these sorts of real-time events because again, they don’t have an algorithm. Like you can have one, like for a personalized kind of like for you feed or whatever, but in terms of what you see, you know, you see it naturally. You’re not seeing it being adjusted by anything, which can be good and bad. I, I think is good because nothing’s suppressing things and you see things in real time. It can be bad because sometimes you miss things, but I think on the whole, it’s better. [00:20:00] The only thing I will say, just to anyone listening and, and just to spread onto, you know, people in your communities too, from what I’ve observed from others, like, it does seem like the, the government and other sorts of, you know, uh, uh, the, you know, bodies like that are finally starting to pay more attention to blue sky in terms of monitoring things. And so that’s not to say don’t. You know, use it at all. But the same way, you don’t make threats on Twitter if you don’t want the Feds to show up at your house. Don’t make threats on Blue Sky, because it’s not just a little microcosm where, you know, no one will see it. People are, it, it’s still small, but it’s, it’s getting bigger to the point that like when people look at like where some of the, the, the fire hose, you know, things observable things are there, there seem to be more and more of them located in the Washington DC area, which could just be because data centers are there, who knows? But I’ve also just seen anecdotally, like people who have had, like other instances, it’s like, don’t, don’t think [00:21:00] that like, oh, okay, well, you know, no one’s monitoring this. Um, of course people are so just don’t be dumb, don’t, don’t say things that could potentially get you in trouble. Um. Brett: a political candidate in Florida. Um, had the cops show up at her house and read her one of her Facebook posts. I mean, this was local. This was local cops, but still, yeah, you Christina: right. Well, yeah, that’s the thing, right? No, totally. And, and my, my only point with that is we’ve known that they do that for Facebook and for, for, you know, Twitter and, and, uh, you know, Instagram and things like that, but they, but Blue Sky, like, I don’t know if it’s on background checks yet, but it, uh, like for, uh, for jobs and things like that, I, I, I don’t know if that’s happening, but it definitely is at that point where, um, I know that people are starting to monitor those things. So just, you know, uh, not even saying for you per se, but just for anybody out there, like, it’s awesome and I’m so glad that like, that’s where people can get information out, but don’t be like [00:22:00] lulled into this false sense of security. Like, oh, well they’re not gonna monitor this. They’re not Brett: Nobody’s watching me here. Christina: It is like, no, they are, they are. Um, so especially as it becomes, you know, more prominent. So I’m, I’m glad that that’s. That’s an option there too. Um, okay. Sponsor Break: Copilot Money Christina: This is like the worst possible segue ever, but should we go ahead and segue to our, our, our sponsor break? Brett: Let’s do it. Let’s, let’s talk about capitalism. Christina: All right. This episode is brought to you by copilot money. Copilot money is not just another finance app. It’s your personal finance partner designed to help you feel clear, calm, and in control of your money. Whether it’s tracking your spending, saving for specific goals, or simply getting the handle on your investments. Copilot money has you covered as we enter the new year. Clarity and control over our finances has never been more important with the recent shutdown of Mint and rising financial stress, for many consumers are looking for a modern, trustworthy tool to help navigate their financial journeys. That’s where copilot money comes in. [00:23:00] With this beautifully designed app, you can see all your bank accounts, spending, savings and goals and investments all in one place. Imagine easily tracking everything without the clutter of chaotic spreadsheets or outdated tools. It’s a practical way to start 2026 with a fresh financial outlook. And here’s the exciting part. As of December 15th, copilot money is now available on the web so you can manage your finances on any device that you choose. Plus, it offers a seamless experience that keeps your data secure with a privacy first approach, when you sign up using our link, you’ll get two months for free. So visit, try. Copilot money slash Overtired to get started with features like automatic subscription tracking so you never miss a renewal date and customizable savings goals to help you stay on track. Copilot money empowers you to take charge of your financial life with confidence. So why wait Start 2026 with clarity and purpose. Download copilot money on your devices or visit. Try copilot money slash [00:24:00] overti today to claim you’re two months free and embrace a more organized, stress-free approach to your finances. Try copilot.money/ Overtired. Brett: Awesome that I appreciate this segue. ’cause we, we, we could, we could be talking about other things. Um, like it’s, it feels so weird, like when I go on social media and I just want to post that like my water’s out. It feels out of place right now because there’s everything that’s going on feels so much more important than, Christina: Right. Brett: than anything else. Um, but there’s still a place for living our lives, um, Christina: there are a absolutely. I mean, and, and, and in a certain extent, like not to, I mean, maybe this is a little bit of a cope, but it’s like, if all we do is focus on the things that we can’t control at the expense of everything else, it’s like then they win. You know? Like, which, which isn’t, which, which isn’t even to [00:25:00] say, like, don’t talk about what’s happening. Don’t try to help, don’t try to speak out and, and, um, and do what we can do, but also. Like as individuals, there’s very little we can control about things. And being completely, you know, subsumed by that is, is not necessarily good either. Um, so yeah, there’s, there, there are other things going on and it’s important for us to get out of our heads. It’s important, especially for you, you know, being in the region, I think to be able to, to focus on other things and, and hopefully your water will be back soon. ’cause that sucks like that. I’ve been, I’ve been worried about you. I’m glad that you have heat. I’m glad you have internet. I’m glad you have power, but you know, the pipes being frozen and all that stuff is like, not Brett: it, the, the internet has also been down for up to six hours at a time. I don’t know why. There’s like an amplifier down on our street. Um, and that has sucked because I, out here, I live in a, I’m not gonna call it rural. Uh, we’re like five minutes from town, [00:26:00] but, um, we, we don’t. We have shitty internet. Like I pay for a gigabit and I get 500 megabits and it’s, and it’s up and down all the time and I hate it. But anyway. Tech Talk: Gas Town and AI Agents Brett: Let’s talk about, uh, let’s talk about Gas Town. What can you tell me about Gastown? Christina: Okay. So we’ve talked a lot about like AI agents and, um, kind of like, uh, coding, um, loops and, and things like that. And so Gastown, uh, which is available, um, at, I, it is not Gas Town. Let me find the URL, um, one second. It’s, it’s at a gas town. No, it’s not. Lemme find it. Um. Right. So this is a thing that, that Steve Yy, uh, has created, and [00:27:00] it is a multi-agent workspace manager. And so the idea is basically that you can be running like a lot of instances of, um, of, of Claude Code or, um, I guess you could use Codex. You could use, uh, uh, uh, co-pilot, um, SDK or CLI agent and whatnot. Um, and basically what it’s designed to do is to basically let you coordinate like multiple coding agents at one time so they can all be working on different tasks, but then instead of having, um, like the context get lost when agents restart, it creates like a, a persistent, um, like. Work state, which it uses with, with git on the backend, which is supposed to basically enable more multi-agent workflows. So, um, basically the idea would be like, you get, have multiple agents working at once, kind of talking to one another, handing things off, you know, each doing their own task and then coordinating the work with what the other ones are doing. But then you have like a persistent, um, uh, I guess kind of like, you know, layer in the backend so that if an agent has to restart or whatever, it’s not gonna lose the, [00:28:00] the context, um, that that’s happening. And you don’t have to manually, um, worry about things like, okay, you know, I’ve lost certain things in memory and, and I’ve, you know, don’t know how I’m, I’m managing all these things together. Um, there, there’s another project, uh, called Ralph, which is kind of based on this, this concept of like, what of Ralph Wickham was, you know, coding or, or was doing kind of a loop. And, and it’s, it’s, it’s a, it’s kind of a similar idea. Um, there’s also. Brett: my nose wouldn’t bleed so much if I just kept my finger out of there. Christina: Exactly, exactly. My cat’s breath smells like cat food. Um, and um, and so. Like there are ideas of like Ralph Loops and Gastown. And so these are a couple of like projects, um, that have really started to, uh, take over. So like, uh, Ralph is more of an autonomous AI agent loop that basically like it runs like over and over and over again until, uh, a task is done. Um, and, and a lot of people use, use Gastown and, [00:29:00] and, and Ralph together. Um, but yeah, no Ga gastown is is pretty cool. Um, we’ll we’re gonna talk about it more ’cause it’s my pick of the week. We’ll talk about Molt bot previously known as Claude Bot, which is, uses some, some similar ideas. But it’s really been interesting to see like how, like the, the multi-agent workflow, and by multi-agent, I mean like, people are running like 20 or 30 of them, you know, at a time. So it’s more than that, um, is really starting to become a thing that people can, uh, can do. Um, Brett: gets expensive though. Christina: I was, I was just about to say that’s the one thing, right? Most people who are using things like Gastown. Are using them with the Claude, um, code Max plans, which is $200 a month. And those plans do give you more value than like, what the, what it would be if you spent $200 in API credits, uh, but $200 a month. Like that’s not an expensive, that’s, you know, that, that’s, that, that, like, you know what I mean? Like, like that, that, that, that, that, that’s a lot of money to spend on these sorts of things. Um, but people [00:30:00] are getting good results out of it. It’s pretty cool. Um. There have been some open models, which of course, most people don’t have equipment that would be fast enough for them to, to run, uh, to be able to kind of do what they would want, um, reliably. But the, the AgTech stuff coming to some of the open models is better. And so if these things can continue, of course now we’re in a ram crisis and storage crisis and everything else, so who knows when the hardware will get good enough again, and we can, when we as consumers can even reasonably get things ourselves. But, but in, in theory, you know, if, if these sorts of things continue, I could see like a, a world where like, you know, some of the WAN models and some of the other things, uh, potentially, um, or Quinn models rather, um, could, uh. Be things that you could conceivably, like be running on your own equipment to run these sorts of nonstop ag agentic loops. But yeah, right now, like it’s really freaking cool and I’ve played around with it because I’m fortunate enough to have access to a lot of tokens. [00:31:00] Um, but yeah, I can get expensive real, real fast. Uh, but, but it’s still, it’s still pretty awesome. Brett: I do appreciate that. So, guest Town, the name is a reference to Mad Max and in the kind of, uh, vernacular that they built for things like background agents and I, uh, there’s a whole bunch, there are different levels of, of the interface that they kind of extrapolated on the gas town kind of metaphor for. Uh, I, it was, it, it, there were some interesting naming conventions and then they totally went in other directions with some of the names. It, they didn’t keep the theme very well, but, but still, uh, I appreciate Ralph Wig and Mad Max. That’s. It’s at the very least, it’s interesting. Christina: No, it definitely is. It definitely is. Crypto Controversies Christina: I will say that there’s been like a little bit [00:32:00] of a kerfuffle, uh, involved in both of those, uh, developers because, um, they’re both now promoting shit coins and, uh, and so that’s sort of an interesting thing. Um, basically there’s like this, this, this crypto company called bags that I guess apparently like if people want to, they will create crypto coins for popular open source projects, and then they will designate someone to, I guess get the, the gas fees, um, in, um, uh, a Solana parlance, uh, no pun intended, with the gas town, um, where basically like that’s, you know, like the, the, the fees that you spend to have the transaction work off of the blockchain, right? Like, especially if there’s. A lot of times that it would take, like, you pay a certain percentage of something and like those fees could be designated to an individual. And, um, in this case, like both of these guys were reached out to when basically they were like, Hey, this coin exists. You’ve got all this money just kind of sitting in a crypto wallet waiting for you. [00:33:00] Take the money, get, get the, the transaction fees, so to speak. And, uh, I mean, I think that, that, that’s, if you wanna take that money right, it’s, it’s there for you. I’m not gonna certainly judge anyone for that. What I will judge you for is if you then promote your shit coin to your community and basically kind of encourage everyone. To kind of buy into it. Maybe you put in the caveat, oh, this isn’t financial advice. Oh, this is all just for whatever. But, but you’re trying to do that and then you go one step beyond, which I think is actually pretty dumb, which is to be like, okay, well, ’cause like, here’s the thing, I’m not gonna judge anyone. If someone who’s like, Hey, here’s a wallet that we’re gonna give you, and it has real cash in it, and you can do whatever you want with it, and these are the transaction fees, so to speak, like, you know, the gas fees, whatever, you know what you do. You, even if you wanna let your audience know that you’ve done that, and maybe you’re promoting that, maybe some people will buy into it, like, people are adults. Fine. Where, where I do like side eye a little bit is if you are, then for whatever reason [00:34:00] going to be like, oh, I’m gonna take my fees and I’m gonna reinvest it in the coin. Like, okay, you are literally sitting on top of the pyramid, like you could not be in a better position and now you’re, but right. And now you’re literally like paying into the pyramid scheme. It’s like, this is not going to work well for you. These are rug bulls. Um, and so like the, the, the, the gas town coin like dropped like massively. The Ralph coin like dropped massively, like after the, the, the Ralph creator, I think he took out like 300 K or something and people, or, you know, sold like 300 K worth of coins. And people were like, oh, he’s pulling a rug pull. And I’m like, well, A, what did you expect? But B it’s like, this is why don’t, like, if someone’s gonna give you free money from something that’s, you know, kind of scammy, like, I’m not saying don’t take the money. I am saying maybe be smart enough to not to reinvest it into the scam. Brett: Yeah. Christina: Like, I don’t know. Anyway, that’s the only thing I will mention on that. ’cause I don’t think that that takes [00:35:00] anything away from either of those projects or it says that you shouldn’t use or play around with it either of those ideas at all. But that is just a thing that’s happened in the last couple of weeks too, where it’s like, oh, and now there’s like crypto, you know, the crypto people are trying to get kind of involved with these projects and, um, I, I think that that’s, uh, okay. You know, um, like I said, I’m, I’m not gonna judge anybody for taking free money that, that somebody is gonna offer them. I will judge you if you’re gonna try to then, you know, try to like, promote that to your audience and try to be like, oh, this is a great way where we, where you can help me and we can all get rich. It’s like, no, there are, if you really wanna support creators, like there are things like GitHub sponsors and there are like other methods that you can, you can do that, that don’t involve making financial risks on shit coins. Brett: I wish anything I made could be popular enough that I could do something that’s stupid. Yeah. Like [00:36:00] I, I, I, I’m not gonna pull a rug pull on anyone, but the chances that I’ll ever make $300,000 on anything I’m working on, it’s pretty slim. Christina: Yeah, but at the same time, like if you, if you did, if you were in that position, like, I don’t know, I mean, I guess that’d be a thing that you would have to kind of figure out, um, yourself would be like, okay, I have access to this amount of money. Am I going to try to, you know, go all in and, and maybe go full grift to get even more? Some, something tells me that like your own personal ethics would probably preclude you from that. Brett: I, um, I have spent, what, um, how old am I? 47. I, I’ve been, since I started blogging in like 1999, 2000, um, I have always adhered to a very strict code and like turning down sponsors. I didn’t agree with [00:37:00] not doing anything that would be shady. Not taking, not, not taking money from anyone I was writing about. Ethics in Journalism and Personal Dilemmas Brett: Like, it’s been, it’s a pain in the ass to try to be truly ethical, but I feel like I’ve done it for 30 some years and, and I don’t know, I wouldn’t change it. I’m not rich. I’ll never be rich. But yeah, I think ethics are important, especially if you’re in any kind of journalism. Christina: Yeah, if you’re in any sort of journalism. I think so, and I think like how people wanna define those things, I think it’s up to them. And, and like I said, like I’m not gonna even necessarily like, like judge people like for, because I, I don’t know personally like what my situation would be like. Like if somebody was like, Christina, here’s a wallet that has the equivalent of $300,000 in it and it’s just sitting here and we’re not even asking you to do anything with this. I would probably take the money. I’m not gonna lie, I don’t, I don’t, I don’t [00:38:00] know if I would promote it or anything and I maybe I would feel compelled to disclose, Hey, Brett: That is Christina: wallet belongs to me. Brett: money though. Christina: I, I, right. I, I, I might, I might be, I might feel compelled to com to, to disclose, Hey, someone created this coin in this thing. They created the foam grow coin and they are giving me, you know, the, the, the gas fees and I have accepted Brett: could be, I’d feel like you could do it if you were transparent enough about it. Christina: Yeah, I mean, I, I, I think where I draw the line is when you then go from like, because again, it’s fine if you wanna take it. It’s then when you are a. Reinvesting the free money into the coin, which I think is just idiotic. Like, I think that’s just actually dumb. Um, like I just, I just do like, that just seems like you are literally, like I said, you’re at the top of the pyramid and you’re literally like volunteering to get into the bottom again. Um, and, or, or b like if you do that and then you try to rationalize in some way, oh, well, you know, I think [00:39:00] that this could be a great thing for everybody to, you know, I get rich, you know, you could get rich, we could all get money out of this because this is the future of, you know, creator economy or whatever. It’s like, no, it’s not. This is gambling. Um, and, and, and, and you could make the argument to me, and I’d probably be persuaded to be like, this isn’t that different from poly market or any of the other sorts of things. But you know what? I don’t do those things either. And I wouldn’t promote those things to any audience that I had either. Um, but if somebody wanted to give me free money. I probably wouldn’t turn it down. I’m not gonna pretend that my ethics are, are that strong. Uh, I just don’t know if I would, if I would, uh, go on the other end and be like, okay, to the Moom, everyone let, let’s all go in on the crypto stuff. It’s like, okay, The Future of Open Source and Cryptocurrency Brett: So is this the future of open source is, ’cause I mean like open source has survived for decades as like a concept and it’s never been terribly profitable. But a [00:40:00] lot of large companies have invested in open source, and I guess at this point, like most of the big open source projects are either run by a corporation or by a foundation. Um, that are independently financed, but for a project like Gastown, like is it the future? Is this, is this something people are gonna start doing to like, kind of make open source profitable? Christina: I mean, maybe, I don’t know. I think the problem though is that it’s not necessarily predictable, right? And, and not to say that like normal donations or, or support methods are predictable, but at least that could be a thing where you’re like, they’re not, but, but, but it’s not volatile to the extent where you’re like, okay, I’m basing, you know, like my income based on how well this shit coin that someone else controls the supply of someone else, you know, uh, uh, created someone else, you know, burned, so to speak, somebody else’s is going to be, uh, [00:41:00] controlling and, and has other things and could be responsible for, you know, big seismic like market movements like that I think is very different, um, than anything else. And so, I don’t know. I mean, I, I think that they, what I do expect that we’ll see more of is more and more popular projects, things that go viral, especially around ai. Probably being approached or people like proactively creating coins around those things. And there have been some, um, developers who’ve already, you know, stood up oddly and been like, if you see anybody trying to create a coin around this, it is not associated with me. I won’t be associated with any of it. I won’t do it. Right. Uh, and I think that becomes a problem where you’re like, okay, if these things do become popular, then that becomes like another risk if you don’t wanna be involved in it. If you’re involved with a, with a popular project, right? Like the, like the, like the creator of MPM Isaac, like, I think there’s like an MPM coin now, and that, that he’s, you know, like involved in and it’s like, you know, again, he didn’t create it, but he is happy to promote it. He’s happy to take the money. I’m like, look, I’m happy for [00:42:00] Isaac to get money from NPMI am at the same time, you know, bun, which is basically like, you know, the, you know, replacement for, for Node and NPM in a lot of ways, they sold to Anthropic for. I guarantee you a fuck load more money than whatever Isaac is gonna make off of some MPM shitcoin. So, so like, it, it’s all a lottery and it’s not sustainable. But I also feel like for a lot of open source projects, and this isn’t like me saying that the people shouldn’t get paid for the work, quite the contrary. But I think if you go into it with the expectation of I’m going to be able to make a sustainable living off of something, like when you start a project, I think that that is not necessarily going to set you up for, I think that those expectations are misaligned with what reality might be, which again, isn’t to say that you shouldn’t get paid for your work, it’s just that the reason that we give back and the reason we contribute open source is to try to be part of like the, the greater good and to make things more available to everyone. Not to be [00:43:00] like, oh, I can, you know, quit my job. Like, that would be wonderful. I, I wish that more and more people could do that. And I give to a lot of, um, open source projects on, on a monthly basis or on an annual basis. Um, Brett: I, I give basically all the money that’s given to me for my open source projects I distribute among other open source projects. So it’s a, it’s a, it’s a wash for me, but yeah, I am, I, I pay, you know, five, 10 bucks a month to 20 different projects and yeah. Christina: Yeah. I mean, I think it’s important, but, but I, I don’t know. I, I, I hope that it’s not the future. I’m not mad, I think like if that’s a way where people can make, you know, a, a, an income. But I do, I guess worry the sense that like, if, if, if, I don’t want that to be, the reason why somebody would start an open source project is because they’re like, oh, I, I can get rich on a crypto thing. Right? Like, ’cause that that’s the exact wrong Brett: that’s not open source. That’s not the open source philosophy. Christina: no, [00:44:00] it’s not. And, and so, I mean, but I think, I think if it already exists, I mean, I don’t know. I, I also feel like no one should feel obligated. This should go without saying that. If you see a project that you like that is involved in one of those coins. Do you have a zero obligation to be, uh, supportive of that in any way? And in fact, it is probably in your financial best interest to not be involved. Um, it, it is your life, your money, your, you do whatever you want, gamble, however you want. But, uh, I, I, I, I do, I guess I, I bristle a little bit. Like if people try to portray it like, oh, well this is how you can support me by like buying into this thing. I’m like, okay, that’s alright. Like, I, I, if you wanna, again, like I said, if you wanna play poly market with this, fine, but don’t, don’t try to wrap that around like, oh, well this is how you can give back. It’s like, no, you can give back in other ways. Like you can do direct donations, you can do other stuff. Like I would, I would much rather encourage people to be like, rather than putting a hundred dollars in Ralph Coin, [00:45:00] give a hundred dollars to the Ralph Guy directly. Apex 1.0? Brett: So, speaking of unprofitable open source, I have Apex almost to 1.0. Um, it officially handles, I think, all of the syntax that I had hoped it would handle. Um, it does like crazy things, uh, that it’s all built on common mark, GFM, uh, like cmar, GFM, GitHub’s project. Um, so it, it does all of that. Plus it handles stuff from like M mark with like indices. Indices, and it incorporates, uh. Uh, oh, I forget the name of it. Like two different ways of creating indices. It handles all kinds of bibliography syntax, like every known bibliography syntax. Um, I just added, you can, you can create insert tags with plus, plus, uh, the same way you would create a deletion with, uh, til detail. Um, and [00:46:00] I’ve added a full plugin structure, and the plugins now can be project local. So you can have global plugins. And then if you have specific settings, so like I have a, I, my blogs are all based on cramdown and like the bunch documentation is based on cramdown, but then like the mark documentation. And most of my writing is based on multi markdown and they have different. Like the, for example, the IDs that go on headers in multi markdown. If it’s, if it has a space in multi markdown, it gets compressed to no space in common Mark or GFM, it gets a dash instead of a space, which means if I have cross links, cross references in my document, if I don’t have the right header syntax, the cross reference will break. So now I can put a, a config into like my bunch documentation that tells Apex to use, [00:47:00] um, the dash syntax. And in my Mark documentation, I can tell it to use the multi markdown syntax. And then I can just run Apex with no command line arguments and everything works. And I don’t know, I, I haven’t gotten adoption for it. Like the one place I thought it could be really useful was DEVONthink, Christina: Mm-hmm. Brett: which has always been based on multi markdown, which. Um, is I love multi markdown and I love Fletcher and, um, it’s just, it’s missing a lot of what I would consider modern syntax. Christina: Right. Brett: so I, I offered it to Devin think, and it turned out they were working on their own project along the same lines at the same time. Um, but I’m hoping to find some, some apps that will incorporate it and maybe get it some traction. It’s solid, it’s fast, it’s not as fast as common Mark, but it does twice as much. Um, like the [00:48:00] benchmarks, it a complex document renders in common mark in about. Uh, 27 milliseconds, and in Apex it’s more like 46 milliseconds. But in the grand scheme of things, I could render my whole blog 10 times faster than I can with cramm down or Panoc and yeah, and, and I can use all the syntax I want. Challenges and Innovations in Markdown Processing Brett: Did I tell you about, did I tell you about, uh, Panoc Divs? The div extension, um, like you can in with the panoc D extension, you can put colon, colon, colon instead of like back, take, back, take backtick. So normally, like back ticks would create a code block with colons, it creates a div, and you can apply, you can apply inline attribute lists after the colons to make, to give it a class and an ID and any other attributes you wanna apply to it. I extended that so that you can do colon, [00:49:00] colon, colon, and then type a tag name. So if you type colon, colon, colon aside and then applied an attribute list to it, it would create an aside tag with those attributes. Um, the, the only pan deck extension that I wish I could support that I don’t yet is grid tables. Have you ever seen grid tables? Christina: I have not. Brett: There, it’s, it’s kind of like multi markdown table syntax, except you use like plus signs for joints and uh, pipes and dashes, and you actually draw out the table like old ASCI diagrams Christina: Okay. Brett: and that would render that into a valid HTML table. But that supporting that has just been, uh, tables. Tables are the thing. I’ve pulled the most hair out over. Christina: Yeah, I was gonna say, I think I, they feel like tables are hard. I also feel like in a lot of circumstances, I mean obviously people use tables and whatnot, but like, [00:50:00] only thing I would say to you, like, you know, apex is, is so cool and I hope that other projects adopt it. Um, and, uh, potentially with the POC support as far as you’ve gotten with it, maybe, you know, projects that support some of POC stuff could, could, you know, uh, jump into it. But I will say it does feel like. Once you go into like the Panoc universe, like that almost feels like a separate thing from the markdown Flavors like that almost feels like its own like ecosystem. You know what I mean? Brett: Well, yeah, and I haven’t tried to adopt everything Panoc does because you can als, you can also use panoc. You can pipe from Apex into Panoc or vice versa. So I’m not gonna try to like one for one replicate panoc, Christina: No, no. Totally Brett: do all of panoc export options because Panoc can take HTML in and then output PDFs and Doc X and everything. So you can just pipe output from Apex into Panoc to create your PDF or whatever Christina: And like, and, and like to, [00:51:00] and like to me, like that seems ideal, right? But I feel like maybe like adopting some of the other things, especially like, like their grid, you know, table, things like that. Like that would be cool. But like, that feels like that’s a, potentially has the, has the potential, maybe slow down rendering and do other stuff which you don’t want. And then b it’s like, okay, now are we complicated to the point that like, this is, this is now not becoming like one markdown processor to rule them all, but you Brett: Yeah, the whole point, the whole point is to be able to just run Apex and not worry about what cex you’re using. Um, but grid tables are the kind of thing that are so intentional that you’re not gonna accidentally use them. Like the, the, the, the impetus for Apex was all these support requests I get from people that are like the tilde syntax for underline or delete doesn’t work in Mark. And it, it does if you choose the right processor. But then you have to know, yeah, you have to [00:52:00] know what processor supports what syntax and that takes research and time and bringing stuff in from, say, obsidian into mart. You would just kind of expect things to work. And that’s, that’s why I built Apex and Christina: right? Brett: you are correct that grid tables are the kind of thing, no one’s going to use grid tables if they haven’t specifically researched what Christina: I right. Brett: they’re gonna work with. Christina: And they’re going to have a way that has their file marked so that it is designated as poc and then whatever, you know, flags for whatever POC features it supports, um, does. Now I know that the whole point of APEX is you don’t have to worry about this, but, but I am assuming, based on kind of what you said, like if I pass like arguments like in like a, you know, in a config file or something like where I was like, these documents or, or, or this URL or these things are, you know, in this process or in this in another, then it can, it can just automatically apply those rules without having to infer based on the, on the syntax, right. Brett: right. It has [00:53:00] modes for cram down and common mark and GFM and discount, and you can like tell it what mode you’re writing in and it will limit the feature set to just what that processor would handle. Um, and then all of the flags, all of the features have neg negotiable flags on them. So if you wanted to say. Skip, uh, relax table rendering. You could turn that off on the command line or in a config file. Um, so yeah, everything, everything, you can make it behave like any particular processor. Uh, but I focus mostly on the unified mode, which again, like you don’t have to think about which processor you are using. Christina: Are you seeing, I guess like in, in circumstances like, ’cause I, in, in my, like, my experience, like, I would never think to, like, I would probably like, like to, I would probably do like what you do, which is like, I’m [00:54:00] going to use one syntax or, or one, you know, processor for one type of files and maybe another and another. Um, but I, I don’t think that like, I would ever have a, and maybe I’m misunderstanding this, but I don’t think I would ever have an instance where I would be like mixing the two together in the same file. Brett: See, that’s my, so that’s, that’s what’s changing for me is I’m switching my blog over to use Apex instead of Cramdown, which means I can now incorporate syntax that wasn’t available before. So moving forward, I am mixing, um, things from common mark, things from cram down, things from multi markdown. Um, and, and like, so once you know you have the option Christina: right. Then you might do that Brett: you have all the syntax available, you start doing it. And historically you won’t have, but like once you get used to it, then you can. Christina: Okay. So here’s the next existential question for you. At what point then does it go from being, you know, like [00:55:00] a, a, a rendering engine, kind of like an omni rendering engine to being a syntax and a flavor in and of itself? Brett: That is that, yeah, no, that’s a, that’s a very valid question and one that I have to keep asking myself, um, because I never, okay, so what to, to encapsulate what you’re saying, if you got used to writing for Apex and you were mixing your syntax, all of a sudden you have a document that can’t render in anything except Apex, which does eventually make it its own. Yeah, no, it is, it’s always, it’s a concern the whole time. Christina: well, and I, I wouldn’t even necessarily, I mean, like, and I think it could be two things, right? I mean, like, you could have it live in two worlds where, like on the one hand it could be like the rendering engine to end all rendering engines and it can render, you know, files and any of them, and you can specify like whatever, like in, in, in like a tunnel or something. Like, you know, these files are, [00:56:00] are this format, these are these, and you know, maybe have some sort of, you know, um, something, even like a header files or whatever to be like, this is what this rendering engine is. Um, you know, with, with your projects to have it, uh, do that. Um. Or have it infer, you know, based on, on, on, um, the, the logic that you’re importing. But it could also be one of those things where you’re like, okay, I just have created like, you know, the omni syntax. And that’s a thing that maybe, maybe you get people to try to encourage or try, try to adopt, right? Like, it’s like, okay, you can always just use common mark. You can always just use GFM, you can always just use multi markdown, but we support these other things too, from these other, um, systems and you can intermix and match them. Um, because, because I, I do feel like at a certain point, like at least the way you’re running it yourself, you have your own syntax. Like, like, you know. Brett: yeah. No, you have perfectly encapsulated the, the major [00:57:00] design concern. And I think you’re correct. It can exist, it can be both things at once. Um, but I have like, nobody needs another markdown syntax. Like there are so many flavors right now. Okay. There may be a dozen. It’s not like an infinite number, but, but there’s enough that the confusion is real. Um, and we don’t need yet another markdown flavor, but we do need a universal processor that. Makes the differentiations less, but yeah, no, it’s, I need, I need to nail down that philosophy, uh, and really like, put it into writing and say, this is the design goal of this project, uh, which I have like hinted at, but I’m a scattered thinker and like, part of, part of the design philosophy is if someone says, Hey, [00:58:00] could you make this work? I just wanted a project where I could say, yeah, I’m gonna make that work. I, I, I’m gonna add this somewhat esoteric syntax and it’s just gonna work and it’s not gonna affect anything else. And you don’t have to use it, but if you do, there it is. So it’s kind of, it was designed to bloat to a circuit certain extent. Um, but yeah, I need to, I need to actually write a page That’s just the philosophy and really, really, uh, put, put all my thoughts together on that. Christina: Yeah, no, ’cause I was just kind of thinking, I was like, ’cause it’s so cool. Um, but the way that I would’ve envisioned using it, like I, I still like, it’s cool that you can mix all those things in together. I still feel like I probably wouldn’t because I’m not you. And so then I would just have like this additional dependency that it’s like, okay, if something happens to Apex one day and that’s the only thing that can render my documents, then like, you know what I mean? And, and, and if it’s not getting updated [00:59:00] anymore or whatever, then I’m kind of like SOL, um, Brett: Maku. Do you remember Maku? Christina: vaguely. Brett: It’s, the project is kind of dead and a lot of its syntax has been incorporated into various other processors. But if you built your whole blog on Maku, you have to, you have to be able to run like a 7-year-old binary, um, and, and it’ll never be updated, and eventually you’re gonna run into trouble. The nice thing about Unix based stuff is it’s. Has a, you can stop developing it and it’ll work for a decade, um, until, like, there’s a major shift in processors, but like, just the shift to arm. Like if, if Maku was only ever compiled for, uh, for, uh, Intel and it wasn’t open source, you would, it would be gone. You wouldn’t be able to run it anymore. So yeah, these things can happen. Christina: [01:00:00] Well, and I just even think about like, you know, the fact that like, you know, like some of the early processors, like I remember like back, I mean this is a million years ago, but having to use like certain, like pearl, you know, based things, you know, but depending on like whatever your backend system was, then you moved to PHP, they maybe you move, moved to, you know, Ruby, if you’re using like Jekyll and maybe you move to something else. And I was like, okay, you know, what will the thing be in the future? Yeah. If, if I, if it’s open source and there’s a way that, you know, you can write a new, a new processor for that, but it does create like, dependencies on top of dependencies, which is why I, I kind of feel like I like having like the omni processor. I don’t know if, like, for me, I’m like, okay, I, I would probably be personally leery about intermingling all my different syntaxes together. Brett: to that end though, that is why I wanted it in C um, because C will probably never die. C can be compiled on just about any platform. And it can be used with, like, if you have, if you have a Jekyll blog and you wanna [01:01:00] incorporate a C program into a gem, it’s no problem. Uh, you can incorporate it into just about any. Langu

The hiring bar for junior developers has changed, and pretending it hasn't will only slow your career. Let's break down a simple strategy to beat the “no experience” trap: Ship a small product you intend to sell, get one or two real users, and use those lessons to tell stronger stories in interviews. Instead of another tutorial portfolio, you'll learn to show autonomy, reliability, and ownership—the exact traits teams are optimizing for in tighter markets.By the end, you'll know how to replace vague “potential” with proof of autonomy: shipped features, hard-earned trade-offs, and stories that map directly to the realities of modern teams.Resources:Side project planner: https://docs.google.com/document/d/1uJ5Bom0WmS410K5B2m5TkbZ7d1G9BdTaX4nKprYschI/editSide project video: https://youtu.be/2TWioJCIaxESend us a textShameless Plugs

Support Viva: GET MERCH! www.vivafrei.com BUY A BOOK! https://amzn.to/4qBXikS SEND ME SOMETHING! David Freiheit 20423 SR 7 Ste F6319 Boca Raton 33498 TIP WITH CRYPTO! bc1qt0umnqna63pyw5j8uesphsfz0dyrtmqcq5ugwm THAT IS ALL!

Welcome to episode 339 of The Cloud Pod, where the forecast is always cloudy! Justin and Matt are in the studio today to bring you all the latest in cloud and AI announcements, including more personnel shifts (and it doesn't seem like it was very friendly), a new way to get much needed copper, and Azure marketplace advertising 4,000 different models. What's the real story? Let's get into it and find out!  Titles we almost went with this week US-EAST-1: Still the Least Reliable Friend You Keep Inviting to Parties **OpenAI 0⃣ From Zero to Inference: BigQuery Makes Open Models a Two-SQL Problem AWS Goes Full Brandenburg Gate: Sovereign Cloud Opens for Business Seven Ate Nine: AWS Skips G7 and Goes Straight to G7e Instances From Crawling to Calling: Cloudflare Buys Human Native to Fix AI’s Data Problem Finally, an AI That Actually Listens to Your War Room Panic Tag, You’re Governed: AWS Automation Takes the Wheel Cloudflare Reaches for the Stars: Astro Framework Acquisition Lands Gemini Gets Personal: Google AI Finally Reads Your Email (With Permission) AWS Strikes Ore: Amazon Cuts Out the Middleman in Copper Supply Chain When Your Region Goes Down More Often Than Your Kubernetes Cluster ChatGPT Go: OpenAI’s New Middle Child Gets $8 Allowance Cloudflare’s Space-Age Acquisition: Astro Gets Jetsons-Level Upgrade Rosie the Robot Fired: Cloudflare Brings Astro Framework Into the Family It took 5 years, and now we have ads in our AI.  AI now with Ads EU says hands off my data General News  00:50 Heather's data is not unreliable  Maybe it's unreliable. I blame Matt for having screwed up his outtro (as he did today), in which case I no longer recognize his participation.  01:11 Astro is joining Cloudflare Cloudflare acquires The Astro Technology Company, bringing the popular open-source web framework in-house while maintaining its MIT license and multi-cloud deployment capabilities.  Major platforms like Webflow Cloud, Wix Vibe, and Stainless already use Astro on Cloudflare infrastructure to power customer websites. Astro 6 introduces a redesigned development server built on Vite Environments API that runs code locally using the same runtime as production deployment. When using the Cloudflare Vite plugin, developers can test against workerd runtime with access to Durable Objects, D1, KV, and other Cloudflare services during local development. The framework focuses on content-driven websites through its Islands Architecture, which renders most pages as static HTML while allowing

AI is writing more code than ever, layoffs are everywhere, and it feels like software careers might be disappearing. In this episode, we explore why that narrative is misleading—and what's actually changing in tech.We break down why learning to code still matters, how to use AI without becoming dependent on it, and which core skills will help you stay relevant as the industry evolves. If you're trying to make sense of the noise and figure out how to move forward in software development, this episode is here to help you navigate what's next.If you want to join our next cohort to learn AI through project based learning - sign up here: https://parsity.io/ai-devSend us a textShameless Plugs

Would you like access to our advanced agency training for FREE? https://www.agencymastery360.com/training If AI can now write, design, and build faster than your team, what does a profitable agency actually sell next? Most agency owners have experienced a weird mix of excitement and anxiety about AI. On the surface, it feels like everything is changing overnight, including websites, content, search, development, and even how clients perceive value. Underneath that panic, though, there's a calmer truth: the fundamentals of running a great agency haven't changed at all. The tools have. Today's featured guest talks candidly about where AI actually helps agencies, where it's wildly overhyped, and why agency owners who focus on systems, relationships, and leverage will win while everyone else burns out chasing shiny tools. Eric Weidner is the founder of Workbox, a digital agency specializing in websites and custom applications for pharmaceutical companies and pharma marketing agencies. With a background that stretches back to the early days of the web, Eric has built, rebuilt, and adapted his agency multiple times, and today he's deep in the practical application of AI for real agency work, not just demos and hype. In this episode, we'll discuss: How agencies are positioned to win with AI. Avoid creating client disappointment with incorrect use of AI. The brutal reality for agencies that rely on "set it and forget it" marketing. Subscribe Apple | Spotify | iHeart Radio Sponsors and Resources E2M Solutions: Today's episode of the Smart Agency Masterclass is sponsored by E2M Solutions, a web design, and development agency that has provided white-label services for the past 10 years to agencies all over the world. Check out e2msolutions.com/smartagency and get 10% off for the first three months of service. The Road to Becoming a Long-Term Agency Operator Eric fell into web development in the mid-90s while working as a secretary administrator at a law firm in San Francisco. Exposure to early tech including computer networks, WordPerfect, XML, and eventually HTML turned into freelance work. That freelance work led to clients and eventually an agency. His story mirrors how most agencies actually begin, with skill, opportunity, and momentum. The problem is that what gets you started is rarely what helps you scale. Eric's longevity comes from his willingness to evolve without abandoning the fundamentals that keep agencies profitable. And that's the trap many agency owners fall into today: assuming AI is a complete reset instead of a force multiplier for the right business model. Why AI Feels Like a Career Defining Moment for Agencies When ChatGPT first came out, Eric didn't treat it like a novelty. He went all in because, for the first time in years, the intellectual challenge of building and running an agency felt exciting again. For a lot of seasoned agency owners, the business had become… static. Same services. Same delivery challenges. Same team bottlenecks. AI cracked that open. Suddenly, there were new problems to solve, new efficiencies to unlock, and new ways to multiply output without multiplying headcount. Ai introduced a chance to rethink how work gets done, how fast ideas move, and how agencies create leverage, not just more work. Eric has no blind optimism when it comes to AI. It isn't magic, and it's not ready to replace strategic thinking. But it is a force multiplier for agencies that understand systems. That's the opportunity most agencies are missing. Instead of asking, "How do we sell AI to clients?" the smarter question is: "How do we use AI to reduce friction, speed up delivery, and improve results—then package that advantage?" Agencies that do this become faster, leaner, and more profitable. Agencies that don't end up stuck in fulfillment, competing on price, and drowning in tools they don't fully understand. AI Is Powerful But It Still Needs a Human Brain AI tools can feel like a superpower, especially if you've never loved certain parts of your job. Writing, development, ideation, and prototyping are faster than ever. But there's a catch. AI works best at the first pass. Ask it to build a landing page, mock up a system, or outline functionality, and it shines. Ask it to make nuanced, detailed changes across a complex system, and it starts to fall apart. In a  sense, AI is like a drunk intern—brilliant on the first assignment, frustrating when you ask for revisions. For agency owners, this matters because selling AI as a silver bullet is a fast way to create client disappointment. The agencies that win will be the ones who understand where AI increases leverage and where human judgment still matters. Websites, Search, and the Shift Nobody's Talking About One of the most important things to understand if you're building a website nowadays is that we're not building websites just for humans anymore. As AI-driven search becomes more dominant, users don't always need to click through to a site to get answers. That changes how content, SEO, and authority work. Eric points to GEO—Generative Engine Optimization—as the next evolution of SEO, where freshness, clarity, and structured authority matter more than volume. This creates a brutal reality for agencies that rely on "set it and forget it" marketing. To stay visible, brands must publish consistently. Content often needs to be less than 90 days old to stay relevant in AI-driven systems. For agency owners already stuck in fulfillment, this is a warning sign. More services, more content, more tools without better systems just equals faster burnout. Content Alone Isn't Enough. Your Voice Builds Trust With AI flooding the internet with content, differentiation matters more—not less. People don't just consume content, they build relationships with voices they trust. That's why podcasts, communities, and consistent thought leadership outperform random marketing tactics. When people hear you think out loud for years, trust compounds. In an AI-saturated world, that human connection becomes the advantage. Or as Jason puts it: when agency owners say they need more leads, the answer is often boring but effective. Build a platform. Build trust. Stay visible. Do You Want to Transform Your Agency from a Liability to an Asset? Looking to dig deeper into your agency's potential? Check out our Agency Blueprint. Designed for agency owners like you, our Agency Blueprint helps you uncover growth opportunities, tackle obstacles, and craft a customized blueprint for your agency's success.

Today we are talking about Recording Podcasts, The tech used, and How Drupal Can help with guest Stephen Cross. We'll also cover Chosen as our module of the week. For show notes visit: https://www.talkingDrupal.com/535 Topics Podcasting and Second Signal Media Evolution of Podcasting Tech Essentials for Podcasting The CEO's Video Strategy Transformation Overcoming the Fear of Speaking on Camera The Importance of Consistency in Content Creation Editing vs. Authenticity in Video Content Choosing the Right Environment and Equipment Setting Realistic Goals for Your Podcast Recording Workflow Recommendations Tools and Tips for Improving Audio Quality Resources Basic Editing with Kdenlive Audio clean-up tools Izotope Secret sounds Guests Stephen Cross - stephencross Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Andy Giles - dripyard.com andyg5000 MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to give users on your Drupal site a more intuitive alternative to native HTML multiselect widgets? There's a module for that. Module name/project name: Chosen Brief history How old: created in Jul 2011 by shadcn but recent releases are by Bálint Nagy (nagy.balint) of Hungary Versions available: 3.0.6, 4.0.3, and 5.0.3, the last of which works with Drupal 10.2 or 11 Maintainership Actively maintained Security coverage Test coverage Number of open issues: 221 open issues, 4 of which are bugs against the 5.x branch Usage stats: Almost 38,000 sites Module features and usage With the module installed, your Drupal site will selectively replace select elements with a more intuitive widget, leveraging the Chosen library. In the module's configuration you can specify how many options should trigger Chosen, and also specify form field selectors to explicitly include or exclude. The three active branches of the module reflect usage of different forks of the Chosen library. Notably, the 5.x versions use a fork that no longer requires jQuery, and allows Chosen to be enabled for mobile devices. In addition to the module configuration, you can also force a custom form's select element to use the Chosen library simply by adding the "chosen-select" class to the form array. Back in episode #409 we talked about Tagify, which in some ways is similar, but is designed specifically to work with entity reference fields. That makes it less "general purpose", though Tagify does also include some additional capabilities, such as being able to include labels or icons on results based on a property of the result. Years ago I used another popular project called Select2 for turning multiselects into listboxes that included a search filter, but that project relied on a library that required jQuery but is incompatible with jQuery 4. So, Select2 has been officially replaced by Tagify, but Chosen could also be useful if your field is not an entity reference. There are a variety similar modules you can also look at, including Choices.js, Selectize, and Selectify, but Chosen is by far the most widely used, even if you're only looking at numbers for the 5.x branch

Anche se adesso dovremmo andare a fare una passeggiata o anche una corsetta per smaltire tutto quello che abbiamo mangiato. Niente di piu' semplice, carichiamo il podcast sul cellulare e partiamo. Allora questa volta non ci accomodiamo, ma allacciamo le scarpe e partiamo! Trascrizione interattiva e Vocab Helper Support Easy Italian and get interactive transcripts, live vocabulary and bonus content: easyitalian.fm/membership Come scaricare la trascrizione Apri l'episodio in Transcript Player (https://play.easyitalian.fm/episodes/mmhvq6xhpfihmcxeqng48) Scarica come HTML (https://www.dropbox.com/scl/fi/mmhvq6xhpfihmcxeqng48/easyitalianpodcast203_transcript.html?rlkey=fp2yo0wwllxzidfff4pp4xov3&st=l31gzbmz&dl=1) Scarica come PDF (https://www.dropbox.com/scl/fi/12yddordxxc8f0mdy86zm/easyitalianpodcast203_transcript.pdf?rlkey=6u8oiw8giphdw7gf951bqxndb&st=ziw18lzh&dl=1) Vocabolario Scarica come text file (https://www.dropbox.com/scl/fi/npjhx1vhkzlpy1mp7mep7/easyitalianpodcast203_vocab.txt?rlkey=paewmjzkkentdo3a5mn1pq5ok&st=ged0rlkg&dl=1) Scarica come text file with semicolons (https://www.dropbox.com/scl/fi/y9h97yuskzluaaga1gmcq/easyitalianpodcast203_vocab-semicolon.txt?rlkey=ksvlshamb7sdfey13rure5oni&st=o5y8xmv8&dl=1) (per app che utilizzano flashcard) Iscriviti usando il tuo feed RSS privatoper vedere la trascrizione e il vocab helper subito sulla tua applicazione per ascoltare i podcast sul tuo cellulare. Note dell'episodio 5 Phrases to Speak Italian Naturally in 2026 - https://www.youtube.com/watch?v=I8_GFSNAL70 Come abbiamo detto all'inizio della puntata per la puntata numero 203, questa puntata, i materiali che di solito sono disponibili a tutti i membri della comunita' Easy Italian sono liberi per tutti! Potrete quindi avere il vocabhelper! E di seguito potete scaricare la trascrizione: https://bit.ly/EP203Podcast E adesso iniziamo! Iniziamo l'anno giocando. Queste feste le abbiamo passate giocando! Meno male. Ma a cosa abbiamo giocato e quali giochi hanno conquistato Raffaele? Lo scoprirete subito! Abbiamo parlato di: Scarabeo Labirinto Lupus in Tabula Sinco Catan Concludiamo con una notizia interessante! Settimana prossima abbiamo un... A no, scusate, non posso dire niente, altrimenti poi Raffaele si arrabbia. Allora niente, ci vediamo settimana prossima. Mi raccomando, non mancate e portate qualche sedie in piu'! Almeno una. Trascrizione Matteo: [0:10] Buon anno di nuovo! Raffaele: [0:22] Buon anno, buon anno di nuovo a tutti, però ho sentito un buon anno particolarmente nasale da parte tua, Matteo. Matteo: [0:31] Indovinato, quest'anno ha portato un bel raffreddore, di quelli belli grandi. Raffaele: [0:37] E vabbè dai, poca cosa, tra l'altro suppongo che il 50% della popolazione italiana sia raffreddata, influenzata o abbia la febbre. Sono state un paio di settimane belle toste: virus, influenze varie, il picco si è avuto proprio a cavallo di queste feste. ... Per questa puntata la trascrizione tutti possono scaricare la trascrizione qui: https://bit.ly/EP203Podcast

If you feel stuck in your business and you just wish someone would tell you exactly what to do next, or even better yet do it for you, this video is exactly what you need. Here's why: I challenged AI to create a custom sales plan to generate $35,000 in 14 days and then implement the plan for me. This video shows you exactly what happened. I'm making this for you because research shows that most business owners are stuck. They want their businesses to do better, and they know something's not right. Maybe it's not enough traffic, maybe their conversions are off. Maybe it's something wrong with their email. Who knows? So they end up feeling stuck, overwhelmed, and they do nothing. Some turn to expensive consultants. Some use fractional CMOs. A lot of those people give really good advice, but now the business owner still has to implement it. And sometimes they don't know how to implement it. Or they don't have time to implement it. Or they don't have the budget to hire someone to implement it. That's why, in this video, you're going to see oJoy.ai diagnose a business, find out what's stuck, and then create a custom plan to bring in as many sales as possible. On top of that, you'll also see it implement the plan. AI has changed now. Most of it gives generic advice based on pattern recognition. After all, it pretty much knows everything that's on the internet, so it looks for patterns and looks for things that marketing experts do, and then it simply imitates what they do. There is a really big difference between imitation and the real thing. oJoy.ai can actually think. It can analyze your complete business. Find out all of your opportunities and weak spots. Give you a custom plan and even implement that plan for you.

A phishing campaign with QR codes rendered using an HTML table Phishing emails are bypassing filters by encoding QR codes as HTML tables. https://isc.sans.edu/diary/A%20phishing%20campaign%20with%20QR%20codes%20rendered%20using%20an%20HTML%20table/32606 n8n vulnerabilities In recent days, several new n8n vulnerabilities were disclosed. Ensure that you update any on-premises installations and carefully consider what to use n8n for. https://www.cyera.com/research-labs/ni8mare-unauthenticated-remote-code-execution-in-n8n-cve-2026-21858 https://github.com/n8n-io/n8n/security/advisories/GHSA-v4pr-fm98-w9pg Power bank feature creep is out of control Simple power banks are increasingly equipped with advanced features, including networking, which may expose them to security risks. https://www.theverge.com/tech/856225/power-banks-are-the-latest-victims-of-feature-creep

In this special episode of Associations Thrive, host Joanna Pineda is joined by colleagues from Matrix Group International, Inc.: Dave Hoernig, Vice President of Software Engineering, Jessica Parsley, Director of Project Management, and Alex Pineda, Creative Director. They look back on the trends they're seeing in the association space. They discuss:How AI dominated 2025, with associations investing heavily in staff training, internal policies, and custom GPTs to boost content production and streamline workflows.The AI tools that helped Matrix Group clients modernize outdated content by converting PDFs to HTML, summarizing large documents, and creating metadata and schema for better discoverability.Why associations wrestled with how much previously gated content to expose for AI indexing, balancing member-only value with public visibility and relevance in AI search results.“About the Industry” storytelling sections of a website becoming a trend, with associations crafting narratives to spotlight the importance of their fields not just to members, but to the public and policymakers.How clients faced tighter budgets in 2025, making incremental updates and data-driven decisions more important than ever.The notable rise of multimedia content, with podcasts and audio read-alouds replacing and supplementing long-form text to meet member preferences and improve accessibility.How personalization is becoming easier with AI and how associations can now deliver customized recommendations for members, modeled after platforms like Netflix or Duolingo.How AI is revolutionizing design and development, with tools that boost creativity, accelerate prototyping, and reduce tedious manual work.How mobile-first and voice-enabled experiences are expected to surge, especially as younger members rely more on phones and smart speakers for web interaction.References:Matrix Group WebsiteSee how TFI tells the story of the industry.We made a few tweaks to the ALDA website in advance of a larger redesign in the future.

¿Mejorar tu español es uno de tus objetivos para el próximo año? Y ¿realmente vale la pena? Si aprender español te da flojera este 2026, este episodio es para ti. Pau y David consideran los argumentos en contra de aprender español... y ¡también las razones por las que seguir aprendiéndolo! Easy Spanish Community Al unirte a la comunidad de Easy Spanish puedes llevar tu experiencia de aprendizaje al siguiente nivel. Los miembros de nuestra Podcast Membership reciben: Vocab Helper: El vocabulario más importante de cada minuto del podcast directamente en la pantalla de tu celular Interactive transcript: Una transcripción interactiva donde podrás leer y escuchar el podcast al mismo tiempo, con una función de traducción en tiempo real Exclusive aftershow: Después de cada episodio, Pau y José discuten un poquito más sobre el tema desde un punto de vista un poco más personal. Discord community: Acceso a la comunidad en Discord de Easy Spanish, donde puedes hablar con los miembros de nuestro equipo y otras personas que, como tú, se encuentran en la aventura de aprender nuestro idioma Extra content for our YouTube episodes: Hojas de ejercicios, listas de vocabulario y transcripciones de todos nuestros episodios de YouTube. Si todavía no eres miembro de la comunidad de Easy Spanish, puedes unirte en easy-spanish.org/community (https://www.easy-spanish.org/community) Transcripción Abrir en Transcript Player (https://play.easyspanish.fm/episodes/x1vv0wjo3xqtko0ws2wgw) Descargar como HTML (https://www.dropbox.com/scl/fi/x1vv0wjo3xqtko0ws2wgw/easyspanishpodcast229_transcript.html?rlkey=owgcimjwvqchld9kxulq9oziw&dl=1) Descargar como PDF (https://www.dropbox.com/scl/fi/8l53pb8e32sc9jaazcbfl/easyspanishpodcast229_transcript.pdf?rlkey=cqo053dumndtzwht2gp674dba&dl=1) Vocabulario Descargar como documento de texto (https://www.dropbox.com/scl/fi/v4y154j0zbfhj5wmf5ob3/easyspanishpodcast229_vocab.txt?rlkey=hons16tg3pbo74x67697mfs4x&dl=1) Descargar como documento de texto con separación (https://www.dropbox.com/scl/fi/939h6n3n37wmpitmqch62/easyspanishpodcast229_vocab-semicolon.txt?rlkey=4gbmeijwcfyu4gbbqn2y9ipgk&dl=1) (para aplicaciones de vocabulario) Subscribe using your private RSS feed (https://www.easy-languages.org/podcasts/patreon) to see the transcript and vocabulary helper right in your podcast app while you listen. Envíanos un mensaje de audio ¡Ya puedes enviarnos mensajes de audio para que los escuchemos en el podcast! Para hacerlo tienes que ir a easyspanish.fm (https://www.easyspanish.fm) y dar clic en el botón amarillo que aparecerá a la derecha de la página. Show notes Find out more about the 30-Day Challenge over here: https://www.easy-spanish.org/30-day-challenge Transcripción Paulina: [0:03] Hola, bienvenidos a otro videopodcast de Easy Spanish. Y esta vez estoy con David. Hola, David. David: [0:12] Hola, ¿qué tal? ¿Cómo estás, Pau? Paulina: [0:14] Bien, ¿y tú? David: [0:16] Bien. Hace fresquito por aquí, por Barcelona, para ser Barcelona, pero muy bien, no puedo quejarme. Paulina: [0:23] Por aquí, también, un poco. Y recuerden que, si están viendo este episodio en YouTube, pueden escucharlo, también, como todos los podcasts en easyspanish.fm o en su plataforma de podcast favorita. Y, si están escuchándolo como podcast, pueden ir a YouTube para podernos ver mientras nos escuchan. Y el tema de hoy, David, ¿de qué vamos a hablar hoy? David: [0:50] Hoy vamos a hablar sobre por qué no deberíamos aprender español. Support Easy Spanish and get interactive transcripts, live vocabulary and bonus content for all our episodes: easy-spanish.org/membership Special Guest: David.

Introducing Rob Ruiz Meet Rob Ruiz, a seasoned Senior Full Stack Developer with nearly two decades of expertise in WordPress innovation and open-source magic. As the Lead Maintainer of WP Rig since 2020, Rob has been the driving force behind this groundbreaking open-source framework that empowers developers to craft high-performance, accessible, and progressively enhanced WordPress themes with ease. WP Rig isn’t just a starter theme—it’s a turbocharged toolkit that bundles modern build processes, linting, optimization, and testing to deliver lightning-fast, standards-compliant sites that shine on any device. Show Notes For more on Rob and WP Rig, check out these links: LinkedIn Profile: https://www.linkedin.com/in/robcruiz WP Rig Official Site: https://wprig.io GitHub Repository: https://github.com/wprig/wprig Latest Releases: https://github.com/wprig/wprig/releases WP Rig 3.1 Announcement: https://wprig.io/wp-rig-3-1/ Transcript: Topher DeRosia: Hey everybody. Welcome to Hallway Chats. I’m your host Topher DeRosia, and with me today I have- Rob Ruiz: Rob Ruiz. Topher: Rob. You and I have talked a couple of times, once recently, and I learned about a project you’re working on, but not a whole lot about you. Where do you live? What do you do for a living? Rob: Yeah, for sure. Good question. Although I’m originally from Orlando, Florida, I’ve been living in Omaha, Nebraska for a couple of decades now. So I’m pretty much a native. I know a lot of people around here and I’ve been fairly involved in various local communities over the years. I’m a web developer. Started off as a graphic designer kind of out of college, and then got interested in web stuff. And so as a graphic designer turned future web developer, I guess, I was very interested in content management systems because it made the creating and managing of websites very, very easy. My first couple of sites were Flash websites, sites with macro media Flash. Then once I found content management systems, I was like, “Wow, this is way easier than coding the whole thing from scratch with Flash.” And then all the other obvious benefits that come from that. So I originally started with Joomla, interestingly enough, and used Joomla for about two or three years, then found WordPress and never looked back. And so I’ve been using WordPress ever since. As the years have gone on, WordPress has enabled me to slowly transition from a more kind of web designer, I guess, to a very full-blown web developer and software engineer, and even software architect to some degree. So here we are many years later. Topher: There’s a big step from designer to developer. How did that go for you? I’m assuming you went to PHP. Although if you were doing Flash sites, you probably learned ActionScript. Rob: Yeah. Yeah. That was very convenient when I started learning JavaScript. It made it very easy to learn JavaScript faster because I already had a familiarity with ActionScript. So there’s a lot of similarities there. But yeah. Even before I started doing PHP, I started learning more HTML and CSS. I did do a couple of static websites between there that were just like no content management system at all. So I was able to kind of sharpen my sword there with the CSS and HTML, which wasn’t particularly hard. But yeah, definitely, the PHP… that was a big step was PHP because it’s a proper logical programming language. There was a lot there I needed to unpack, and so it took me a while. I had to stick to it and really rinse and repeat before I finally got my feet under me. Topher: I can imagine. All right. So then you work for yourself or you freelance or do you have a real job, as it were? Rob: Currently, I do have a real job. Currently, I’m working at a company called Bold Orange out of Minneapolis. They’re a web agency. But I kind of bounce around from a lot of different jobs. And then, yes, I do freelance on the side, and I also develop my own products as well for myself and my company. Topher: Cool. Bold Orange sounds familiar. Who owns that? Rob: To be honest, I don’t know who the owners are. It’s just a pretty big web agency out of Minneapolis. They are a big company. You could just look them up at boldorange.com. They work for some pretty big companies. Topher: Cool. All right. You and I talked last about WP Rig. Give me a little background on where that came from and how you got it. Rob: Yeah, for sure. Well, there was a period of time where I was working at a company called Proxy Bid that is in the auction industry, and they had a product or a service — I don’t know how you want to look at that —called Auction Services. That product is basically just building WordPress sites for auction companies. They tasked us with a way to kind of standardize those websites essentially. And what we realized is that picking a different theme for every single site made things difficult to manage and increase tech debt by a lot. So what we were tasked with was, okay, if we’re going to build our own theme that we’re just going to make highly dynamic so we can make it look different from site to site. So we want to build it, but we want to build it smart and we want to make it reusable and maintainable. So let’s find a good framework to build this on so that we can maintain coding standards and end up with as little tech debt as possible, essentially. That’s when I first discovered WP Rig. In my research, I came across it and others. We came across Roots Sage and some of the other big names, I guess. It was actually a team exercise. We all went out and looked for different ones and studied different ones and mine that I found was WP Rig. And I was extremely interested in that one over the other ones. Interestingly enough- Topher: Can you tell me why over the other ones? Rob: That’s a great question. Yeah. I really liked the design patterns. I really liked the focus on WordPress coding standards. So having a system built in that checked all the code against WordPress coding standards was cool. I loved the compiling transpiling, whatever, for CSS and JavaScript kind of built in. That sounded really, really interesting. The fact that there was PHP unit testing built into it. So there’s like a starter testing framework built in that’s easy to extend so that you can add additional unit tests as your theme grows. We really wanted to make sure… because we were very into CICD pipelines. So we wanted to make sure that as developers were adding or contributing to any themes that we built with this, that we could have automated tests run and automated builds run, and just automate as much as possible. So WP rig just seemed like something that gave us those capabilities right out of the box. So that was a big thing. And I loved the way that they did it. Roots Sage does something similar, but they use their blade templating engine built in there. We really wanted to stick to something that was a bit more standard WordPress so that there wasn’t like a large knowledge overhead so that we didn’t have to say like, okay, if we’re bringing on other developers, like junior developers work on it, oh, it would be nice if you use Laravel too because we use this templating engine in all of our themes. We didn’t want to have to worry about that essentially. It was all object-oriented and all that stuff too. That’s what looked interesting to me. We ended up building a theme with WP Rig. I don’t know what they ended up doing with it after that, because I ended up getting let go shortly thereafter because the company had recently been acquired. Also, this was right after COVID too. So there was just a lot of moving parts and changing things at the time. So I ended up getting let go. But literally a week after I got let go, I came across a post on WP Tavern about how this framework was looking for new maintainers. Basically, this was a call put out by Morton, the original author of WP Rig. He reached out to WP Tavern and said, “Look, we’re not interested in maintaining this thing anymore, but it’s pretty cool. We like what we’ve built. And so we’re looking for other people to come in and adopt it essentially.” So I joined a Zoom meeting with a handful of other individuals that were also interested in this whole endeavor, and Morton reached out to me after the call and basically just said, “I looked you up. I liked some of the input that you had during the meeting. Let’s talk a little bit more.” And then that eventually led to conversations about me essentially taking the whole project over entirely. So, the branding, the hosting of the website, being lead maintainer on the project. Basically, gave me the keys to the kingdom in terms of GitHub and everything. So that’s how it ended up going in terms of the handoff between Morton and I. And I’m very grateful to him. They really created something super cool and I was honored to take it over and kind of, I don’t know, keep it going, I guess. Topher: I would be really curious. I don’t think either of us have the answer. I’d be curious to know how similar that path is to other project handoffs. It’s different from like an acquisition. You didn’t buy a plugin from somebody. It was kind of like vibes, I guess. Rob: It was like vibes. It was very vibey. I guess that’s probably the case in an open source situation. It’s very much an open source project. It’s a community-driven thing. It’s for everybody by everybody. I don’t know if all open source community projects roll like that, but that’s how this one worked out. There was some amount of ownership on Morton’s behalf. He did hire somebody to do the branding for WP Rig and the logo. And then obviously he was paying for stuff like the WPrig.io domain and the hosting through SiteGround and so on and so forth. So, we did have to transfer some of that and I’ve taken over those, I guess, financial burdens, if you want to think of it like that. But I’m totally okay with it. Topher: All right. You sort of mentioned some of the things Rig does, compiling and all that kind of stuff. Can you tell me… we didn’t discuss this before. I’m sitting at my desk and I think I want a website. How long does it take to go from that to looking at WordPress and logging into the admin with Rig? Rob: Okay. Rig is not an environment management system like local- Topher: I’m realizing my mistake. Somebody sends me a design in Figma. How long does it take me to go from that to, I’m not going to say complete because I mean, that’s CSS, but you know, how long does it take me to get to the point where I’m looking at a theme that is mine for the client that I’m going to start converting? Rob: Well, if you’re just looking for a starting point, if you’re just like, okay, how long does it take to get to like, okay, here’s my blank slate and I’m ready to start adopting all of these rules that are set up in Figma or whatever, I mean, you’re looking at maybe 5 minutes, 10 minutes, something like that. It’s pretty automated. You just need some simple knowledge of Git. And then there are some prerequisites to using WP Rig. You do have to have composer installed because we do leverage some Composer packages to some of it, although to be honest, you could probably get away with not using Composer. You just have to be okay with sacrificing some of the tools the WP Rig assumes you’re going to have. And then obviously Node. You have to have Node installed. A lot of our documentation assumes that you have NPM, that you’re using NPM for all your Nodes or your package management. But we did recently introduce support for Bun. And so you can use Bun instead of NPM, which is actually a lot faster and better in many ways. Topher: Okay. A lot of my audience are not developers, users, or light developers, like they’ll download a theme, hack a template, whatever. Is this for them? Am I boring those people right now? Rob: That’s a great question. I mean, and I think this is an interesting dichotomy and paradigm in the WordPress ecosystem, because you’ve got kind of this great divide. At least this is something I’ve noticed in my years in the WordPress community is you have many people that are not coders or developers that are very interested in expanding their knowledge of WordPress, but it’s strictly from a more of a marketing perspective where it’s like, I just want to know how to build websites with WordPress and how to use it to achieve my goals online from a marketing standpoint. You have that group of people, and then you have this other group of people that are very developer centric that want to know how to extend WordPress and how to empower those other people that we just discussed. Right? Topher: Right. Rob: So, yeah, that’s a very good question. I would say that WP Rig is very much designed for the developers, not for the marketers. The assumption there is that you’re going to be doing some amount of coding. Now, can you get away with doing a very light amount of coding? Yes. Yes, you can. I mean, if you compare what you’re going to get out of that assumed workflow to something that you would get off like Theme Forest or whatever, it’s going to be a night and day difference because those theme, Forest Themes, have hours, hundreds, sometimes hundreds of hours of development put into them. So, you’re not going to just out of the box immediately get something that is comparable to that. Topher: You need to put in those hundreds of hours of development to make a theme. Rob: As of today, yes. That may change soon though. Topher: Watch this space. Rob: That’s all I’ll say. Topher: Okay. So now we know who it’s for. I’m assuming there’s a website for it. What is it? Rob: Yeah. If you go to WPrig.io, we have a homepage that shows you all the features that are there in WP Rig. And then there’s a whole documentation area that helps people get up and running with WP Rig because there is a small learning curve there that’s pretty palatable for anybody who’s familiar with modern development workflows. So that is a thing. So the type of person that this is designed for anybody that wants to make a theme for anything. Let’s say you’re a big agency and you pull in a big client and that client wants something extremely custom and they come to you with Figma designs. Sure, you could go out there and find some premium theme and try to like child theme and overhaul that if you want. But in many situations, I would say in most situations, if you’re working from a Figma design that’s not based off of another theme already that’s just kind of somebody else’s brainchild, then you’re probably going to want to start from scratch. And so the idea here is that this is something to replace an approach, like underscores an approach. Actually, WP Pig was based off of underscores. The whole concept of it, as Morton explained it to me, was that he wanted to build an underscores that was more modern and full-featured from a development standpoint. Topher: Does it have any opinions about Gutenberg? Rob: It does now, but it did not when I took it over because Gutenberg did not exist yet when I took over WP Rig. Topher: Okay. What are its opinions? Rob: Yeah, sure. The opinion right out of the gate is that you can use Gutenberg as an editor and it has support like CSS rules in it for the standard blocks. So you should be able to use regular Gutenberg blocks in your theme and they should look just fine. There’s no resets in there. It doesn’t start from scratch. There’s not a bunch of styling you have to do for the blocks necessarily. Now, if you go to the full site editing or block-based mentality here, there are some things you need to do in WP Rig to convert the out-of-the-box WP Rig into another paradigm essentially. Right when you pull WP Rig, the assumption is you’re building what most people would refer to as a hybrid theme. The theme supports API or whatever, and the assumption is that you’re not going to be using the site editor. You’re just going to kind of do traditional WordPress, but you might be using Gutenberg for your content. So you’re just using Gutenberg kind of to author your pages and your posts and stuff like that, but not necessarily the whole site. WP Rig has the ability to kind of transform itself into other paradigms. So the first paradigm we built out was the universal theme approach. And the idea there is that you get a combination of the full site editing capabilities. But then you also have the traditional menu manager and the settings customizer framework or whatever is still there, right? These are things that don’t exist in a standard block-based theme. So I guess an easy example would be like the 2025 WordPress theme that comes right out of the box. It comes installed in WordPress. That is a true block-based theme, not a universal theme. So it doesn’t have those features because the assumption there is that it doesn’t need those features. You can kind of transform WP Rig into a universal theme that’s kind of a hybrid between a block-based and a classic theme. And then it can also transform into a strictly block-based theme as well. So following the same architecture as like the WordPress 2025 theme or Ollie or something like that is also a true block-based theme as well. So you can easily convert or transform the starting point of WP Rig into either of those paradigms if that’s the type of theme you’re setting out to build. Topher: Okay. That sounds super flexible. How much work is it to do that? Rob: It’s like one command line. Previously we had some tutorials on the website that showed you step-by-step, like what you needed to change about the theme to do that. You would have to add some files, delete some files, edit some code, add some theme supports into the base support class and some other stuff. I have recently, as of like a year and a half ago or a year ago, created a command line or a command that you can type into the command line that basically does that entire conversion process for you in like the blink of an eye. It takes probably a second to a second and a half to perform those changes to the code and then you’re good to go. It is best to do that conversion before you start building out your whole theme. It’s not impossible to do it after. But you’re more likely to run into problems or conflicts if you’ve already set out building your whole theme under one paradigm, and then you decide how the project you want to switch over to block-based or whatever. You’re likely to run into the need to refactor a bunch of stuff in that situation. So it is ideal to make that choice extremely early on in the process of developing your theme. But either way it’ll still work. That’s just one of the many tools that exist in WP Rig to transform it or convert it in several ways. That’s just one example. There are other examples of ways that Rig kind of converts itself to other paradigms as well. Topher: Yeah. All right. In my development life, I’ve had two parts to it. And one is the weekend hobbyist, or I download cadence and I whip something up in 20 minutes because I just want to experiment and the other is agency life where everything’s in Git, things are compiled, there are versions, blah, blah, blah. This sounds very friendly to that more professional pathway. Rob: Absolutely. Yes. Or, I mean, there’s another situation here too. If you’re a company who develops themes and publishes them to a platform like ThemeForest or any other platform, perhaps you’re selling themes on your own website, whatever, if you’re making things for sale, there’s no reason you couldn’t use WP Rig to build your themes. We have a bundle process that bundles your theme for publication or publishing. Whether you’re an agency or whether you’re putting your theme out for sale, it doesn’t matter, during that bundle process, it does actually white label the entire code base to where there’s no mention of WP Rig in the code whatsoever. Let’s say you were to build a theme that you wanted to put up for sale because you have some cool ideas. Say, page transitions now are completely supported in all modern or in most modern browsers. And when I say print page transitions, for those that are in the know, I am talking about not single page app page transitions, but through website page transitions. You can now do that. Let’s say you were like, “Hey, I’m feeling ambitious and I want to put out some new theme that comes with these page transitions built in,” and that’s going to be fancy on ThemeForest when people look at my demo, people might want to buy that. You could totally use WP Rig to build that out into a theme and the bundle process will white label all of the code. And then when people buy your theme and download that code, if they’re starting to go through and look through your code, they’re not going to have any way of knowing that it was built with WP Rig unless they’re familiar with the base WP Rig architecture, like how it does its object-oriented programming. It might be familiar with the patterns that it’s using and be able to kind of discern like, okay, well, this is the same pattern WP Rig uses, so high likelihood it was built with WP Rig. But they’re not going to be able to know by reading through the code. It’s not going to say WP Rig everywhere. It’s going to have the theme all over the place in the code. Topher: Okay. So then is that still WP Rig code? It just changed its labels? Rob: Yeah. Topher: So, it’s not like you’re exporting HTML, CSS and JavaScript? The underlying Rig framework is still there. Rob: Yeah. During the bundle process, it is bundling CSS and HTML. Well, HTML in the case of a block-based theme. But, yeah, it is bundling your PHP, your CSS, your JavaScript into the theme that you’re going to let people download when they buy it, or that you’re going to ship to your whatever client’s website. But all that code is going to be transpiled. In the case of CSS and JavaScript, there’s only going to be minified versions of that code in that theme. The source code is not actually going to be in there. Topher: This sounds pretty cool. You mentioned some stuff might be coming. You don’t have to tell me what it is, but do you have a timeline? When should we be watching for the next cool thing from Rig? Rob: Okay, cool. Well, I’m going to keep iterating on Rig forever. Regardless of any future products that might be built on WP Rig, WP Rig will always and forever remain an open source product for anybody to use for free and we, I, and possibly others in the future will continue to update it and support it over time. We just recently put out 3.1. You could expect the 3.2 anytime in the next six months to a year, probably closer to six months. One feature I’m looking at particularly closely right now is the new stuff coming out in version 6.9 of WordPress around the various APIs that are there. I think one of them is called the form… There’s a field API and a form API or view API or something like that. So WP Rig comes with a React-based settings framework in it. So if you want your theme to have a bunch of settings in it to make it flexible for whoever buys your theme, you can use this settings framework to easily create a bunch of fields, and then that framework will automatically manage all your fields and store all the data from those fields and make it easy to retrieve the values of the input on those fields, without knowing any React at all. Now, if you know React, you can go in there and, you know, embellish what’s already there, but it takes a JSON approach. So if you just understand JSON, you can go in and change the JSON for the framework, and that will automatically add fields into the settings framework. So you don’t even have to know React to extend the settings page if you want. That will likely get an overhaul using these new APIs being introduced into Rig. Topher: All right. How often have you run into something where, “Oh, look, WordPress has a new feature, I need to rebuild my system”? Rob: Over the last four or five years, it’s happened a lot because, yeah, I mean, like I said, when I first took this thing over, Gutenberg had not even been introduced yet. So, you had the introduction of Gutenberg and blocks. That was one thing. Then this whole full site editing became a thing, which later became the site editor. So that became a whole thing. Then all these various APIs. I mean, it happens quite frequently. So I’ve been working to keep it modern and up to date over the past four years and it’s been an incredible learning experience. It not only keeps my WordPress knowledge extremely sharp, but I’ve also learned how various other toolkits are built. That’s been the interesting thing. From a development standpoint, there’s two challenges here. One of the challenges is staying modern on the WordPress side of things. For instance, WordPress coding standards came out with a version 3 and then a version 3.1 about two years ago. I had to update WP Rig to leverage those modern coding standards. So that’s one example is as WordPress changes, the code in WP Rig also needs to change. Or for instance, if new CSS standards change, right, new CSS properties come out, it is ideal for the base CSS in WP Rig, meaning the CSS that you get right out of the box with it, comes with some of these, for instance, CSS grid, Flexbox, stuff like that. If I was adopting a theme framework to build a theme on, I would expect some of that stuff to be in there. And those things were extremely new when I first took over WP Rig and were not all baked in there essentially. So I’ve had to add a lot of that over time. Now there’s another side to this, which is not just keeping up with WordPress and CSS and PHP, 8. whatever, yada yada yada. You’ve also got the toolkit. There are various node packages and composer packages of power WP Rig and the process in which it does the transpiling, the bundling, the automated manipulation of your code during various aspects of the usage of WP Rig is a whole nother set of challenges because now you have to learn concepts like, well, how do I write custom node scripts? Right? Like there were no WP CLI commands built into WP Rig when I first took it over. Now there’s a whole list. There’s a whole library of WP CLI commands that come in Rig right out of the gate. And so I’ve had to learn about that. So just various things that come with knowing how do you automate the process of converting code, that’s something that was completely foreign to me when I first took over WP Rig. That’s been another incredible learning experience is understanding like what’s the difference between Webpack and Gulp. I didn’t know, right? I would tell people I’m using Gulp and WP Rig and they would be like, “Well, why don’t you just use Webpack?” and I would say, “I don’t know. I don’t know what the difference is.” So over time I could figure out what are the differences? Why aren’t we using Webpack? And I’m glad I spent some time on that because it turns out Webpack is not the hottest thing anymore, so I just skipped right over all that. When I overhauled for version 3, we’re now not using Gulp anymore as of 3.1. We’re now using more of a Vite-like process, far more modern than Webpack and far better and faster and sleeker and lighter. I had to learn a bunch about what powers Vite. What is Vite doing under the hood that we might be able to also do in WP Rig, but do it in a WordPress way. Because Vite is a SaaS tool. If you’re building a SaaS, like React with a… we’re not a SaaS. I guess a spa is a better term to use here. If you’re building a single page application with React or view or belt or whatever, right, then knowing what Vite is and just using Vite right out of the box is perfect. But it doesn’t translate perfectly to WordPress land because WordPress has its own opinions. And so I did have to do some dissecting there and figure out what to keep and what to not keep to what to kind of set aside so that WordPress can keep doing what WordPress does the way WordPress likes to do it, but also improve on how we’re doing some of the compiling and transpiling and the manipulation of the code during these various. Topher: All right. I want to pivot a little bit to some personal-ish questions. Rob: Okay. Topher: This is a big project. I’m sure it takes up plenty of your time. How scalable is that in your life? Do you want to do this for the rest of your life? Rob: That’s a fantastic question. I don’t know about the rest of my life. I mean, I definitely want to do web development for the rest of my life because the web has, let’s be honest, it’s transformed everyone’s way of life, whether you’re a web developer or not. You know, the fact that we have the internet in our pocket now, you know, it has changed everything. Apps, everything. It’s all built on the web. So I certainly want to be involved in the web the rest of my life. Do I want to keep doing WordPress the rest of my life? I don’t know. Do I want to keep doing WP Rig the rest of my life? I don’t know. But I will say that you bring up a very interesting point, which is it does take up a lot of time and also trust in open source over the past four or five years I would argue has diminished a little bit as a result of various events that have occurred over the past two or three years. I mean, we could cite the whole WP Engine Matt Mullerwig thing. We can also cite what’s going on with Oracle and JavaScript. Well, I mean, there’s many examples of this. I mean, we can cite the whole thing that happened… I mean, there’s various packages out there that are used and developed and open source to anybody, and some of them are going on maintained and it’s causing security vulnerabilities and degradation and all this stuff. So it’s a very important point. One thing I started thinking about after considering that in relation to WP Rig was I noticed that there’s usually a for-profit arm of any of these frameworks that seems to extend the lifespan of it. Let’s just talk about React, for example, React is an open source JavaScript framework, but it’s used by Facebook and Facebook is extremely for-profit. So companies that are making infrastructural or architectural decisions, they will base their choice on whether or not to use a framework largely on how long they think this framework is going to remain relevant or valid or maintained, right? A large part of that is, well, is there a company making money off of this thing? Because if there is, the chances- Topher: They’re going to keep doing that. Rob: They’re going to keep doing it. It’s going to stay around. That’s good. I think that’s healthy. A lot of people that like open source and want everything to be free, they might look at something like that and say like, well, I don’t want you to make a paid version of it or there shouldn’t be a pro version. I think that’s a very short-sighted way of looking at that software and these innovations. I think a more experienced way of looking at it is if you want something to remain relevant and maintained for a long period of time, having a for-profit way in which it’s leveraged is a very good thing. I mean, let’s be real. Would WordPress still be what it is today if there wasn’t a wordpress.com or if WooCommerce wasn’t owned by Automattic or whatever, right? They’ll be on top. I mean, it’s obviously impossible to say, but my argument would be, probably not. I mean, look at what’s happened to the other content management systems out there. You know, Joomla Drupal. They don’t really have a flourishing, you know, paid pro service that goes with their thing that’s very popular, at least definitely not as popular as WordPress.com or WordPress VIP or some of these other things that exist out there. And so having something that’s making and generating money that can then contribute back into it the way Automattic has been doing with WordPress over these years has, in my opinion, been instrumental. I mean, people can talk smack about Gutenberg all they want, but let’s be real, it’s 2025, would you still feel that WordPress is an elegant solution if we were still working from the WYSIWYG and using the classic editor? And I know a lot of people are still using the classic editor and there’s classic for us, the fork and all that stuff. But I mean, that only makes sense in a very specific implementation of WordPress, a very specific paradigm. If you want to explore any of these other paradigms out there, that way of thinking about WordPress kind of falls apart pretty quickly. I, for one, am happy that Gutenberg exists. I’m very happy that Automattic continues. And I’m grateful, actually, that Automattic continues to contribute back into WordPress. And not just them, obviously there’s other companies, XWP, 10Up, all these other companies are also contributing as well. But I’m very grateful that this ecosystem exists and that there’s contribution going back in and it’s happening from companies that are making money with this. And I think that’s vital. All that to say that WP Rig may and likely will have paid products in the future that leverage WP Rig. So that’s not to say that WP Rig will eventually cost money. That’s just to say that eventually people can expect other products to come out in the future that will be built on WP Rig and incentivize the continued contributions back into WP Rig. The open source version of WP Rig. Topher: That’s cool. I think that’s wise. If you want anything to stay alive, you have to feed it. Rob: That’s right. Topher: I had some more questions but I had forgotten them because I got caught up in your answer. Rob: Oh, thank you. I’ll take that as a compliment. I mean, my answer was eloquent. But I’m happy to expand on anything, know you, WordPress related, me related, you know, whether it comes to the ecosystem in WordPress, the whole WordCamp meetup thing is very interesting. I led the WP Omaha meetup for many years here in Omaha, Nebraska and I also led the WordCamp, the organizing of WordCamp here in Omaha for several years as well. That whole community, the whole ecosystem, at least in America seems to have largely fallen apart. I don’t know if you want to talk about that at all. But yeah, I’m ready to dive into any topics. Topher: I’m going to have one more question and then we’re going to wrap up. And it was that you were talking about all the things you had to learn. I’m sure there were nights where you were looking at your computer thinking, “Oh man, I had it working, now I gotta go learn a new thing.” I would love for you to go back in time and blog all of that if you would. But given that you can’t, I would be interested in a blog moving forward, documenting what you’re learning, how you’re learning it and starting maybe with a post that’s summarizes all of that. Obviously, that’s up to you and how you want to spend your time, but I think it’d be really valuable to other people starting a project, picking up somebody else’s project to see what the roadmap might look like. You know what I mean? Rob: For sure. Well, I can briefly summarize what I’ve learned over the years and where I’m at today with how I do this kind of stuff. I will say that a lot of the improvements to WP Rig that have happened over the last year or two would not be possible without the advent of AI. Topher: Interesting. Rob: That’s a fancy way of saying that I have been by coding a lot of WP Rig lately. If you know how to use AI, it is extremely powerful and it can help you do many things very quickly that previously would have taken much longer or more manpower. So, yeah, perhaps if there was like five, six, seven people actively, excuse me, actively contributing to WP Rig, then this type of stuff would have been possible previously, but that’s not the case. There is one person, well, one main contributor to WP Rig today and you’re talking to them. There are a handful of other people that have been likely contributing to WP Rig over the versions and you can find their contributions in the change log file in WP Rig. But those contributions have been extremely light compared to what I’ve been doing. I wouldn’t be able to do any of it without AI. I have learned my ability to learn things extremely rapidly has ramped up tenfold since I started learning how to properly leverage LLMs and AI. So that’s not to say that like, you know, WP Rig, all the code is just being completely written by AI and I’m just like. make it better, enter, and then like WP Rig is better. I wish it was that easy. It’s certainly not that. But when I needed to start asking some of these vital questions that I really didn’t have anyone to turn to to help answer them, I was able to turn to AI. For instance, let’s go back to the Webpack versus Gulp situation. Although Gulp is no longer used in WP Rig, you know, it was used in WP Rig until very recently. So I had to understand like, what is this system, how does it work, how do I extend it and how do I update it and all these things, right? And why aren’t we using WebPack and you know, is there validity to this criticism behind you should use webpack instead of Gulp or whatever, right? I was able to use AI to ask these questions and be able to get extremely good answers out of it and give me the direction I needed to make some of these kind of higher level decisions on like architecturally where should WP Rig go? It was through these virtual conversations with LLMs that I was able to refine the direction of WP Rig in a direction that is both modern and forward-thinking and architecturally sound. I learned a tremendous amount from AI about the architecture, about the code, about all of it. My advice to anybody that wants to extend their skill set a little bit in the development side of things is to leverage this new thing that we have in a way that is as productive as possible for you. So that’s going to vary from person to person. But for me, if I’m on a flight or if I’m stuck somewhere for a while, like, let’s say I got to take my kid to practice or something and I’m stuck there for an hour and I got to find some way to kill my time 9 times out of 10, I’m on my laptop or on my phone having conversations with Grok or ChatGPT or Gemini or whatever. I am literally refining… I’m just sitting there asking it questions that are on my mind that I wish I could ask somebody who’s like 10 times more capable than me. It has been instrumental. WP Rig wouldn’t be where it is today if it wasn’t for that. I would just say to anybody, especially now that it’s all on apps and you don’t have to be on a browser anymore, adopt that way of thinking. You know, if you’re on your lunch break or whatever and you have an hour lunch break and you only take 15 minutes to eat, what could you be doing with those other 45 minutes? You could just jump on this magical thing that we have now and start probing it for questions. Like, Hey, here’s what I know. Here’s what I don’t know. Fill these knowledge gaps for me.” And it is extremely good at doing that. Topher: So my question was, can you blog this and your answer told me that there’s more there that I want to hear. That’s the stuff that should be in your book when you write your book. Rob: I’m flattered that you would be interested in reading anything that I write. So thank you. I’ve written stuff in the past and it hasn’t gotten a lot of attention. But I also don’t have any platforms to market it either. But yeah, no, I made some… I’m sorry. Topher: I think your experience is valuable far beyond Rig or WordPress. If you abstract it out of a particular project to say, you know, I did this with a project, I learned this this way, I think that would be super valuable. Rob: Well, I will say that recently at my current job, I was challenged to create an end to end testing framework with Playwright that would speed up how long it takes to test things and also prevent, you know, to make things fail earlier, essentially, to prevent broken things from ending up in the wild, right, and having to catch them the hard way. I didn’t know a lot about Playwright, but I do know how toolkits work now because of WP Rig. And I was able to successfully in a matter of, I don’t know, three days, put together a starter kit for a test framework that we’re already using at work to test any website that we create for any client. It can be extended and it can be hooked into any CI CD pipeline and it generates reports for you and it does a whole bunch of stuff. I was able to do this relatively quickly. This knowledge, yes, does come in handy in other situations. Will I end up developing other toolkits like WP Rig in the future for other things? I guess if I can give any advice to anybody listening out there, another piece of advice I would give people is, you know, especially if you’re a junior developer and you’re still learning or whatever, or you’re just a marketing person and just want to have more control over the functionality side of what you’re creating or more insight into that so you could better, you know, manage projects or whatever. My advice would be to take on a small little project that is scoped relatively small that’s not too much for you to chew and go build something and do it with… Just doing that will be good. But if you can do it with the intent to then present it in some fashion, whether it be a blog article or creating a YouTube video or going to a meetup and giving a talk on it or even a lunch and learn at work or whatever, right, that will, in my experience, it will dramatically amplify how much you learn from that little pet project that’s kind of like a mini learning experience. And I highly encourage anybody out there to do that on the regular. Actually, no matter what your experience level is in development, I think you should do these things on a regular basis. Topher: All right. I’m going to wrap this up. I got to get back to work. You probably have to get back to work. Rob: Yeah. Topher: Thanks for talking. Rob: Thanks for having me, Topher. Really appreciate it. Topher: Where could people find you? WPrig.io?  Rob: Yeah, WPrig.io. WP rig has accounts on all of the major platforms and, even on Bluesky and Mastodon. You can look me up, Rob Ruiz. You can find me on LinkedIn. You can find me on all of those same platforms as well. You can add me on Facebook if you want, whatever. And I’m also in the WordPress Slack as well as Rob Ruiz. You can find me in the WordPress Slack. And then I’m on the WordPress Reddit and all that stuff. So yeah, reach out. If anybody wants to have any questions about Rig or anything else, I’m happy to engage.  Topher: Sounds good. All right, I’ll see you. Rob: All right, thanks, Topher. Have a good day. Topher: This has been an episode of the Hallway Chats podcast. I’m your host Topher DeRosia. Many thanks to our sponsor Nexcess. If you’d like to hear more Hallway Chats, please let us know on hallwaychats.com.

Show DescriptionAfter a bit of gaming talk, Chris and Dave are sharing a bunch of cool projects that our Discord community members have been sharing over the past year including things like a web component based admin bar, shape CSS generators, new website portfolios, HTML-first web framework, email markup databases, miniature paintings, AI tools and ducks, and a lot more. ShopTalk will be taking a break after this episode until the new year. Happy holidays for 2025 and we look forward to a great year in 2026 sharing our love of all things HTML, CSS, and building websites. Listen on WebsiteWatch on YouTubeLinks BALL x PIT on Steam Overwatch 2 Call of Duty® | Best-Selling Video Game Franchise THE FINALS on Steam Welcome to Steam Home | Vulkan | Cross platform 3D Graphics Dota 2 Counter-Strike 2 Learn JavaScript, React, and TypeScript to Node.js, Fullstack, and Backend | Frontend Masters HTML for People GitHub - StfBauer/markshell: Markshell allows you to convert Markdown to a beautiful output on the shell, Ideal for any custom built NodeJS CLI. Admin Bar Component | Will Browar ship-shape.win Quina - Menu Crashlands 2 | Games | Butterscotch Shenanigans How Many Dudes? on Steam Unoffice Hours Webring Unoffice Hours - Dave Smyth Dynamic Dummy Image Generator - DummyImage.com Lynn Fisher Nestflix o(m)g:image | Question 1 Making o(m)g:image, Part III: The HTML - Jim Nielsen's Blog Outlyne - AI Website Builder | Create Stunning Websites with AI Greenwood I Hid a Dozen Easter Eggs on This Website – Unapologetic MacStories - Apple news, app reviews, and stories by Federico Viticci and friends. SotB14 | State of the Browser 14 The Email Markup Database (2) Post | LinkedIn Storybook MCP sneak peek Andy Ford - miniature painter Rubber AI Baseline Tennis - Ulimate Tennis ladder for competitive and casual players Intersecting Us - Where we explore math stories together. bitty - a web tool for interesting pages Dolphin Maker 2.0 Chris Enns + Lemon Productions SponsorsStudioworksManage clients and contacts, send branded invoices, receive payments, access educational resources, and connect with a supportive community. We're building the best business hub for freelancers who want a custom client experience that feels polished and professional — with much more in store.