Podcasts about prompting

Ernesto Araújo and Alejandro Peña Esclusa, with Edmund Fitton-Brown: In Brazil, falling poll numbers have panicked President Lula, prompting him to call Donald Trump despite years of anti-American rhetoric. Araújo explains this reflects the US's central role in combating South American "narcosocialist" regimes. Meanwhile, in Venezuela, Delcyand Jorge Rodríguez are simulating cooperation with the US while delaying presidential elections to buy time. Peña Esclusa notes that Venezuelan opposition members are negotiating Supreme Court appointments rather than election dates or political prisoners. Both guests will attend Slovenia's Bled Strategic Forum to discuss Latin America's right-wing political shift and potential energy partnerships with Europe. (3)

Dave speaks to Michael Shackelford from Genrupt, to discuss the newest AI video model from ByteDance. They dive into Seedance 2.5, how they compare against other AI models, and how small businesses can create high-quality videos efficiently. They dive into the best practices for e-commerce businesses, the several ways users can leverage Seedance 2.5 and post-production tips. Thinking about taking some risk off the table? Or are you looking at taking an extended break from e-commerce in general? Know what your e-commerce business is worth with Quiet Light Brokerage. Timestamps 00:00 - Introduction to Seed Dance 2.5 and its significance 02:07 - The breakthrough capabilities of ByteDance's Seed Dance 2.5 04:10 - Differences between Seed Dance 2.0 and 2.5 05:18 - Creating seamless 30-second videos with AI prompts 07:35 - Platforms and tools for accessing Seed Dance 2.5 09:24 - Addressing privacy concerns with Chinese AI models 11:38 - Cost and efficiency of AI video generation 13:41 - Prompting strategies for high-quality AI videos 16:08 - Using video references to improve AI output 19:13 - Structuring prompts for effective AI video creation 22:02 - Leveraging YouTube and TikTok videos as references 24:23 - Workflows for AI video production and post-production tips 33:57 - Services offered by GenRup for AI video creation Resources Quiet Light Brokerage The Exitpreneur GenRupt GenRupt Agency Jungle Scout Higgsfield - one of the platforms mentioned that offers Seed Dance CapCut - another platform mentioned that offers Seed Dance Dreamina - ByteDance's own platform mentioned for using Seed Dance Google Omni - Google's video editing model Suno - AI-generated music platform As always, if you have any questions or anything that you need help with, leave a comment down below if you're interested. Don't forget to leave us a review on iTunes if you enjoy our content. Thanks for listening! Until next time, happy selling!

How much of your week goes into fixing what AI just handed you? Not writing from scratch, just cleaning up, correcting, and nudging a draft that looked fine for about ten seconds before you actually needed it to work. That endless back and forth has a name. We call it slop fixing, and there is research suggesting it is quietly eating close to a full day of our working week. In this How I AI episode, Neo and I get into why this happens and the two very different ways of working with AI that decide whether it does. You will hear the difference between gunslinging and architecting, what a proper brief actually sounds like, and how to have a conversation with AI before you ask it to build anything. By the end, you will be getting version one at 90 percent instead of 20. What you'll learn: What actually separates AI slop from work that lands The difference between gunslinging and architecting with AI What a proper brief for AI actually sounds like How to have a real conversation with AI before asking it to build anything Why version one can land at 90 percent instead of 20 Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. My latest book The Energy Game is out now. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

Broadcast from KSQD, Santa Cruz on 8-13-2026: Dr. Dawn opens by reading an anatomy student's elegy to a body donor, reflecting on how modern medical education has moved away from full cadaver dissection toward pre-dissected specimens and models—and what she believes has been lost in that transition. Dr. Dawn dissects how hospital consolidation has become the primary driver of runaway U.S. healthcare costs. She contrasts a $16,000 knee replacement at Catawba Valley Medical Center with a $40,000 procedure for the same Blue Cross Blue Shield plan an hour away at Asheville's Mission Hospital—a facility formed by the 1998 merger of the town's two acute-care hospitals and later acquired by HCA in 2018. Mission now charges 333% of Medicare rates (versus a 280% benchmark), and state inspectors have issued three "immediate jeopardy" findings since HCA's takeover, consistent with academic findings that hospital care quality drops when competition disappears. She notes that CMS-required price disclosures since 2021 finally make this transparent, and calls for regulatory prevention of hospital mergers—especially not-for-profit to for-profit conversions—in single or two-hospital markets. Dr. Dawn analyzes the 3.1% year-over-year drop in prescription drug prices reported through July—the sharpest decline since 1963. She attributes most of it to Biden's 2022 Inflation Reduction Act, which partially rescinded George W. Bush-era Medicare Part D restrictions that had statutorily prohibited price negotiation, saving taxpayers roughly $6 billion in the first six months of implementation. Additional contributors include GLP-1 compounding competition, blockbuster drugs losing exclusivity, and Bureau of Labor Statistics methodology that swaps generics into the price index six months after brand patent expiration. She calls for consumer-facing apps that help patients shop hospital prices the same way they shop cars. Dr. Dawn covers the emerging science of dormant tumor cells—cancer cells that shed from primary tumors even before diagnosis, hide in bone marrow and lymph nodes, and enter a hibernation state (feeding off cellular residue via autophagy) that shields them from chemotherapy targeting rapidly dividing cells. New York researchers have identified proteins by which lung macrophages actively reinforce dormancy, but immune disruption from COVID-19, influenza, aging, and chronic stress can trigger reactivation. She emphasizes lifestyle protection for cancer survivors: minimal alcohol, Mediterranean diet, and five daily cups of green tea for the EGCG dormancy-maintaining effect seen in cell culture. A caller argues for single-payer healthcare and questions whether Medigap insurance is worth $287 monthly. Dr. Dawn explains the math: for a $100,000 hospital bill, 20% coinsurance is $20,000, making the $2,400 annual premium reasonable catastrophic-risk protection—though skipping it is a defensible bet for very low-utilization patients. She notes those whose income drops to Medi-Cal eligibility often end up with better coverage than middle-class seniors. The same caller then presents a differential diagnosis of himself as likely multiple sclerosis based on ChatGPT consultation, describing balance loss requiring hallway wall-guidance, dramatic vision changes, and fasciculations. Dr. Dawn walks through prompt engineering for medical AI: request differential lists ordered by probability of frequency in the population rather than symptom-fit alone. She notes symmetric symptoms argue against MS, suggests checking electrolytes (particularly calcium), and emphasizes that a physical examination should precede imaging to avoid incidentalomas that trigger cascading invasive workups—cautioning that without a primary care doctor, he lacks an advocate within the system.

Partner with Jay: https://www.jayschwedelson.com/contactㅤCheck out Jay Schwedelson's new book: Stupider People Have Done It All net proceeds are donated to The V Foundation for Cancer Research, let's kick cancer's butt: https://www.amazon.com/Stupider-People-Have-Done-Marketing/dp/1637635206ㅤSubscribe to Jay's newsletter for weekly marketing tips and tactics: https://www.jayschwedelson.com/newsletterㅤRegister for GuruConference (FREE + VIRTUAL!) https://www.guruconference.comㅤCheck out Eventastic (FREE + VIRTUAL!) https://www.eventastic.comㅤConnect with Jay on LinkedIn: https://www.linkedin.com/in/schwedelson/Check out Jay's YouTube channel: https://www.youtube.com/@schwedelsonCheck out Jay's Instagram: https://www.instagram.com/jayschwedelson/Ask Jay anything: https://www.jayschwedelson.com/askㅤLeave a comment and follow the show, it really helps us out!ㅤGeoff invites listeners to visit AIleadership.com and look for the Accelerator, the two-day program built to get an entire leadership team using AI as a thought partner. He also points people to his book, The AI-Driven Leader, and his podcast of the same name.ㅤMost people are using AI to write faster emails and call it a transformation. Geoff Woods walked Jay Schwedelson through the prompt structure he used to help a CEO who had 90 days of sleepless nights and a company about to go under, and the answer came out of the machine in under ten minutes. The bigger idea underneath it: you should not be asking AI questions at all; you should be getting it to ask you.ㅤBest Moments:(02:03) The career advice from a CEO that reframed everything, and the morning in India when a colleague mentioned ChatGPT(03:15) Why using AI to write better emails means you are majoring in the minors(04:52) The 80/20 bar Geoff applies before he touches any AI use case at all(06:26) CRIT explained: context, role, interview, task, and why the interview step changes everything(07:35) The bankrupt manufacturer, the Japanese board, and the strategy AI named the saving face consortium(12:23) What training on your data actually means, and why the fear is mostly outdated(14:15) The AI health coach that talked him out of a cookie and helped him drop 30 pounds

Want to make better AI videos but have absolutely no idea what you're doing?Perfect. Neither did most of us at first.

Flo Crivello returns to The Cognitive Revolution to launch Lindy Teammate, an AI employee that lives in Slack, connects to company tools, and accumulates a team's shared context. He argues that multiplayer AI matters because intelligence without context is less useful than an ordinary coworker, and explains Lindy's approach to agentic memory, editable file systems, context buckets, and large-scale tool outputs. The episode also examines the costs and operating realities of building for the next generation of models, from negative gross margins and cache rates to Lindy's own dogfooding in engineering workflows. The stakes are whether AI workers become drop-in teammates, how long humans are still needed to cover model mistakes, and what happens when engineers spend more time managing the machines that do the work. Lindy: https://go.lindy.ai/CognitiveRevolution For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/lindy-teammate-flo-crivello-on-multiplayer-agents-memory-why-he-d-ban-the-chinese-models-he-uses/ Sponsor: Claude: Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr CHAPTERS: (00:00) About the Episode (02:56) Lindy Teammate launch (10:07) Agentic memory systems (Part 1) (19:58) Sponsor: Claude (21:28) Agentic memory systems (Part 2) (22:21) Reliability and caching (34:57) Slack data scaling (40:57) Memory retrieval tricks (48:16) Agent infrastructure choices (55:41) Company operations automate (01:03:34) Centaur era ideas (01:12:43) AI native organizations (01:17:59) Open-source model stack (01:27:39) Prompting and fine-tuning (01:38:03) Chinese model bans (01:45:09) Fairness and threat models (01:53:39) Audits and diplomacy (02:01:59) Episode Outro (02:05:18) Outro PRODUCED BY: https://aipodcast.ing SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Cole, CIT's Power Platform Developer, to recap a recent Prompting 101 webinar focused on CRIT prompting—Context, Role, Interrogation, and Task—and why being specific in each area leads to better AI outputs. Cole explains each CRIT component, highlights common prompting mistakes like over-instructing the AI on how to reach an answer, and discusses how to address bias by explicitly naming it in prompts so the AI can avoid reinforcing it. He also answers how much context is too much, noting that while you can't give too much in a single prompt, long multi-phase threads can introduce irrelevant context due to model limits. Looking ahead, Cole expects prompting to remain important while evolving toward reusable AI “skills” for consistent outputs such as CIT's readiness assessment reports.00:00 Webinar Recap Intro00:24 CRIT Prompting Framework02:28 Common Prompting Mistakes03:37 Bias and Output Steering05:12 How Much Context Is Too Much06:21 Future of Prompting Skills07:40 From Prompts to Skills11:23 Wrap Up and Next Steps11:40 OutroCheck out the full webinar here: https://www.citsolutions.net/events/webinars/ai-starter-series/

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 602.585.9800More HMS: www.holmbergpodcast.com, www.98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

I personally subscribe to The Economist. TOE listeners get 35% off the annual subscription. No other podcast has this! https://economist.com/TOE Ten days after winning the Fields Medal — math's highest honor — Jacob Tsimerman joins to explain why he's leaving academia temporarily for OpenAI's AI safety team, and why he's grieving even as he does it. The conversation covers why math is one of the first fields being radically reshaped by AI, whether a proof still counts if no one can understand it, what mathematical "understanding" really means, the ethics of elite access to frontier models, his disagreements with the Leiden Declaration, and his advice for young people weighing a career in pure math in an age of rapidly advancing AI. This is an exclusive first podcast with Jacob Tsimerman. FOLLOW: - Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e - Substack: https://curtjaimungal.substack.com/subscribe - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs - Crypto: https://nowpayments.io/donation/TOE - PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 TIMESTAMPS: - 00:00:00 - Fields Medal and Grieving - 00:05:38 - Canonical Human Cognition Patterns - 00:10:40 - Prompting the Mathematical Future - 00:15:40 - Pure Math and Physics Loops - 00:21:00 - Epistemic Black Boxes - 00:26:00 - Rigor Outgrowing Intuition - 00:31:20 - Cognitive Mechanics of Understanding - 00:37:00 - Gödel and Working Memory - 00:42:10 - Mathematics as Improvised Art - 00:47:30 - AI Power and Meritocracy - 00:52:50 - Math on the Chopping Block - 00:58:20 - Unrestricted Optimization Risks - 01:03:40 - AI Safety Manhattan Project - 01:08:50 - Training for Post-AI Careers - 01:14:10 - The Managerial Shift - 01:19:40 - Cognitive Offloading and Adaptation LINKS MENTIONED: - Jacob's Website: https://www.math.utoronto.ca/~jacobt/ - Jacob's Publications: https://www.semanticscholar.org/author/Jacob-Tsimerman/3130599 - Quanta's Story On Jacob [Article]: https://www.quantamagazine.org/jacob-tsimerman-wins-2026-fields-medal-for-andre-oort-conjecture-proof-20260723/ - André-Oort Conjecture: https://www.ams.org/journals/notices/202410/rnoti-p1307.pdf - Canonical Heights On Shimura Varieties And The André-Oort Conjecture [Paper]: https://arxiv.org/abs/2109.08788 - O-Minimal GAGA And A Conjecture Of Griffiths [Paper]: https://arxiv.org/pdf/1811.12230 - Ten Advances In Mathematics And Theoretical Computer Science: https://openai.com/index/ten-advances-in-mathematics/ - Thoughts About The Leiden Declaration: https://gowers.wordpress.com/2026/07/26/thoughts-about-the-leiden-declaration/ - Tobias Osborne LinkedIn Post: https://www.linkedin.com/posts/tobias-osborne-601830a5_farewell-to-the-conjecture-prover-several-share-7487777959299276800-mxsa/ - Math For AI Safety: https://mathforaisafety.org/ - Charles Fefferman: https://en.wikipedia.org/wiki/Charles_Fefferman - G-Functions, Motives, And Unlikely Intersections [Paper]: https://arxiv.org/abs/2501.09867 - Tobias Osborne's QFT Lectures: https://www.youtube.com/playlist?list=PLDfPUNusx1EpRs-wku83aqYSKfR5fFmfS - AISI Website: https://www.aisi.gov.uk/ - Sebastian Jaimungal: https://sebastian.statistics.utoronto.ca/ - Edward Frenkel [TOE]: https://youtu.be/RX1tZv_Nv4Y - Roger Penrose [TOE]: https://youtu.be/iO03t21xhdk More links at https://curtjaimungal.substack.com Guests do not pay to appear. #science Learn more about your ad choices. Visit megaphone.fm/adchoices

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 602.585.9800More HMS: www.holmbergpodcast.com, www.98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A strong earthquake hit Colombia. AP's Lisa Dwyer reports.

*** HOUSTON WE HAVE A PROBLEM***Estamos al tanto de que los primeros minutos de este episodio presentan un problema de audio. Ya identificamos la causa y estamos trabajando con la plataforma para resolverlo lo antes posible. Agradecemos tu paciencia y te avisaremos en cuanto quede corregido.*** HOUSTON WE HAVE A PROBLEM***¿Sientes que la Inteligencia Artificial avanza tan rápido que te estás quedando atrás? 

There's already an increase in volume of security flaws found by LLMs. And orgs are already turning to LLMs to write code. So, what happens when orgs lean on LLMs to create patches for those security flaws? Keith Hoodlet gives an exclusive early look at his team's recent research into the success, quality, and failures of LLM-generated security patches. Notably, they saw scenarios across a spectrum from robust, effective patches to patches that changed the software's behavior to patches that introduced new vulns to patches that didn't even fix the original vuln while also introducing a new vuln. The research considers factors like quality and correctness of prompts, complexity of the target software, programming language, and expertise required to understand what a robust patch should look like. If you're going to spend tokens on fixing security flaws, you want a feedback loop that fixes them correctly -- not an infinite loop of new flaws creeping in with every LLM iteration. Watch for this research, its toolset, and data to be released on Thursday August 6th during Black Hat. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-394

There's already an increase in volume of security flaws found by LLMs. And orgs are already turning to LLMs to write code. So, what happens when orgs lean on LLMs to create patches for those security flaws? Keith Hoodlet gives an exclusive early look at his team's recent research into the success, quality, and failures of LLM-generated security patches. Notably, they saw scenarios across a spectrum from robust, effective patches to patches that changed the software's behavior to patches that introduced new vulns to patches that didn't even fix the original vuln while also introducing a new vuln. The research considers factors like quality and correctness of prompts, complexity of the target software, programming language, and expertise required to understand what a robust patch should look like. If you're going to spend tokens on fixing security flaws, you want a feedback loop that fixes them correctly -- not an infinite loop of new flaws creeping in with every LLM iteration. Watch for this research, its toolset, and data to be released on Thursday August 6th during Black Hat. Show Notes: https://securityweekly.com/asw-394

There's already an increase in volume of security flaws found by LLMs. And orgs are already turning to LLMs to write code. So, what happens when orgs lean on LLMs to create patches for those security flaws? Keith Hoodlet gives an exclusive early look at his team's recent research into the success, quality, and failures of LLM-generated security patches. Notably, they saw scenarios across a spectrum from robust, effective patches to patches that changed the software's behavior to patches that introduced new vulns to patches that didn't even fix the original vuln while also introducing a new vuln. The research considers factors like quality and correctness of prompts, complexity of the target software, programming language, and expertise required to understand what a robust patch should look like. If you're going to spend tokens on fixing security flaws, you want a feedback loop that fixes them correctly -- not an infinite loop of new flaws creeping in with every LLM iteration. Watch for this research, its toolset, and data to be released on Thursday August 6th during Black Hat. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-394

There's already an increase in volume of security flaws found by LLMs. And orgs are already turning to LLMs to write code. So, what happens when orgs lean on LLMs to create patches for those security flaws? Keith Hoodlet gives an exclusive early look at his team's recent research into the success, quality, and failures of LLM-generated security patches. Notably, they saw scenarios across a spectrum from robust, effective patches to patches that changed the software's behavior to patches that introduced new vulns to patches that didn't even fix the original vuln while also introducing a new vuln. The research considers factors like quality and correctness of prompts, complexity of the target software, programming language, and expertise required to understand what a robust patch should look like. If you're going to spend tokens on fixing security flaws, you want a feedback loop that fixes them correctly -- not an infinite loop of new flaws creeping in with every LLM iteration. Watch for this research, its toolset, and data to be released on Thursday August 6th during Black Hat. Show Notes: https://securityweekly.com/asw-394

Artificial intelligence is quickly becoming an essential tool for work, school, and everyday life—but getting great results starts with knowing how to ask the right questions. In this episode of the Vispero Training Podcast, we explore the art of prompting and share practical strategies for writing clear, effective prompts that help AI tools produce more accurate, useful, and consistent responses. Along the way, we discuss choosing the right AI tool for different tasks, troubleshooting common issues, and improving accessibility when working with screen readers. We also answer audience questions about using ChatGPT, Claude, Copilot, and Gemini with JAWS, working with transcripts and captions during webinars, and techniques for getting better results from AI-powered workflows. Whether you're brand new to AI or looking to sharpen your prompting skills, this episode is packed with practical tips to help you work more efficiently and confidently with today's AI tools.

You are not getting worse at AI. You are also not getting faster, and that is the part nobody explains. In this episode, Becky names the thing quietly limiting almost every business owner using AI right now, something she calls the Assistant Ceiling, the point where better prompting stops helping because the problem was never how you were asking. She walks through the five places it shows up in an ordinary working week, why the workarounds you have already built cannot fix it, and what twenty years of user experience design at companies like Verizon and American Airlines revealed about why so few people in the AI space can see it. Becky is hosting a free live workshop this Tuesday, August 4th, at 2 pm Central/3 pm Eastern/12 pm Pacific/8 pm UK where she walks through an entire ordinary day inside a business that runs above the ceiling, plus a live segment for three attendees that will not be in the replay. Register here: at coachbeckybeach.com/aiworkshop

During the July 29, 2026 broadcast of The Charlie James Show, host Charlie James analyzes Dr. Anthony Fauci's appearance before the Senate Homeland Security and Governmental Affairs Committee. James highlights that Fauci invoked his Fifth Amendment rights 121 times rather than answering questions regarding his actions and mandates during the COVID-19 pandemic. Citing Supreme Court precedents like Burdick v. United States, James argues that pleading the Fifth after receiving a presidential pardon constitutes a de facto rejection of that pardon, leaving Fauci legally exposed. Calls from listeners recount personal grievances and absurdities experienced during pandemic shutdowns, ranging from airline mask enforcement to small business disruptions. The segment concludes with comments on the political fallout of the hearing and local primary voting regulations.

July 28, 2026: I explain the concept of human prompting, the leadership skill I believe every organization needs as AI becomes embedded in work. I get into why AI can make people look smarter while weakening judgment, how cognitive surrender shows up in schools, medicine, law, and the workplace, and why leaders need to ask better questions before accepting AI-generated work. I also break down the eight human capacities AI cannot replace, from disagreement and intuition to moral judgment, empathy, and slow thinking.

That child who waits for you to start every sentence? In this replay I sit down with SLP Alexandria Zachos — founder of Meaningful Speech — to talk about how years of prompting quietly create prompt dependence, and how silence, connection, and a child-led approach help gestalt language processors find their own spontaneous voice. Prompting doesn't lead to spontaneous language. Connection, silence, and meeting a child where they are do. Gestalt language processing (GLP) is a normal, natural way of developing language — just a different path than the analytic, word-by-word route most of us were taught. Alex walks us through what it actually is, how the stages unfold from delayed echolalia to flexible, novel grammar, and why so many kids we've labeled "echolalic" or "scripting" are simply gestalt language processors who need a different kind of support. We also dig into the hard truth about prompting — why fill-in-the-blank, cloze phrases, and always initiating for a child can lead to prompt dependence — and what to do instead: natural language modeling, honoring all communication, and trusting silence to make room for language to emerge. We'll talk about: ●  what gestalt language processing is — and why it isn't a disorder ●  the six stages of gestalt language development, from delayed echolalia to complex grammar ●  how prompting and compliance-based strategies create prompt dependence over time ●  why our ultimate goal is spontaneous, flexible, multimodal communication ●  how silence, connection, and being a trusted communication partner change everything ●  why it's never too late for an older child who has become prompt dependent In This Episode, You'll Learn •  What gestalt language processing is, and how it differs from analytic language development •  How the stages unfold — delayed echolalia, mitigated echolalia, the "magic" word-freeing stage, and grammar •  Why delayed echolalia is always communicating something, even when it isn't literal •  How to do "detective work" to figure out what a child's gestalt actually means •  Why years of prompting and cloze phrases lead to prompt dependence, not spontaneous language •  What targeted natural language modeling looks like across communicative functions •  Why "the change starts with us," not with fixing the child •  How silence and the OWL approach (Observe, Wait, Listen) create space for language to emerge •  Why acknowledging all communication — a smile, a nod, a repeat — builds the trust language grows from Key Takeaways •  Gestalt language processing is a natural way of developing language, not a disorder •  Delayed echolalia is meaningful — it's communicating something worth investigating •  Prompting does not build spontaneous communicators; child-led support does •  Our goal is spontaneous, flexible, novel communication — including through AAC •  Change starts with what we model and how we respond, not with the child •  Silence is a strategy: spontaneous language emerges when the pressure is off •  Acknowledge all communication to build the relationship and trust •  Use a child's own gestalts — and put them into AAC — for instant buy-in •  It's never too late for an older, prompt-dependent child Try This •  Notice how often you prompt, question, or fill in the blank — then try saying less •  Use the OWL approach: observe, wait, and listen before you speak •  Let silence sit; follow the child's lead and join what they love •  Acknowledge every attempt to communicate with a repeat, a smile, or a nod •  Model language naturally instead of asking the child to perform it •  When you hear a gestalt, do some detective work to learn what it means •  Add a child's gestalts into their AAC device for automatic buy-in •  With an older prompt-dependent child, plan low-pressure sessions to rebuild trust first Related Resources & Links

Ben Tasker joins Jeff Mains to break down the real reason most AI rollouts fail: it's almost never the technology. From his time as Dean of AI at Southern New Hampshire University to building life-saving diagnostic tools at MaineHealth, Ben has seen firsthand how change management, human-centric strategy, and data quality determine whether AI creates value or amplifies chaos.In this episode, Ben introduces the concept of the "AI Between Times" — the transition period where organizations are leaving old processes behind but haven't yet arrived at a fully AI-integrated future. He explains why 95% of AI implementations fail, what separates the 5% that succeed, and how founders and leaders can build a culture of continuous learning that makes their organizations genuinely AI-resilient. Ben also shares a practical four-step learning cycle (Learn → Practice → Apply → Reflect) and makes the case that adaptability and flexibility — not technical expertise — are the most critical skills to develop right now.Key Takeaways[0:00] — Hook: 95% of AI implementations fail — not because of bad tech, but because of what surrounds it: poor rollouts, unengaged leaders, and broken processes that get automated at scale.[3:11] — Ben introduces the "AI Between Times" — the transition moment where organizations are leaving old processes but haven't reached AI maturity. Change management is the most overlooked factor.[5:19] — What the 5% do differently: transparent campaigns that communicate why AI is being implemented, where, how, and what not to do — plus training pathways and upskilling resources.[7:38] — Why people resist change: 66% of individuals currently hold negative AI sentiment, driven by news around layoffs, data centers, and high-profile failures. Trust and transparency are the antidote.[7:52] — The danger of a "point solution" mindset: using AI to solve one small problem without mapping the full system. Ben's pizza-ordering example illustrates how a narrow implementation can actually increase costs, erode trust, and kill adoption.[13:44] — AI doesn't fix a messy organization — it amplifies it. Garbage in, garbage out. Data quality and process integrity must come before the model.[13:45] — Ben's healthcare origin story: his first job exposed the cost of poor data infrastructure and uncommunicated change. Physicians worked around the system because no one explained the why.[15:27] — From community college to ICU: Ben's student success algorithm took 12 months just to get faculty buy-in — a timeline the data science team never anticipated. At MaineHealth, a similar algorithm flagged ICU patients for early infection, potentially saving thousands of lives.[21:11] — Why people treat AI as just a search engine: ChatGPT reached 1 million users in 5 hours — faster than the iPhone, the computer, or the internet. Accessibility doesn't equal strategy. Most people use 2–3 use cases and miss the full picture.[22:58] — Prompting is a skill. A prompt for a video, an image, and a report require different approaches. Without a learning plan, you're not using AI — you're guessing.[26:20] — AI's primary objective is to interact with you more. The more you use it, the more personalized it becomes. But that also means being thoughtful about what data you share.[31:25] — Ben's personal AI origin story: photographed workout equipment, had ChatGPT build CrossFit plans, then photographed his fridge for meal planning. That non-work use case built the prompting instincts he later applied professionally.[33:14] — AI augmentation is the sweet spot — not replacement. Most roles will incorporate AI; the job titles that don't exist yet (Dean of AI, prompt engineer) are proof the economy is already shifting.[35:48] — "Prompt engineer" has at least two completely different career paths — one for marketing professionals, one for PhD-level AI researchers. Organizations need to recruit by skills, not job titles.[42:47] — What successful large-scale AI transformations have in common: leadership engagement, middle-layer exploration, and org-wide AI literacy — treated as a cultural shift, not a one-time training.[44:00] — Context is the new data. Websites, job descriptions, PowerPoint decks — these become the data sources that AI ingests. If the context isn't clean and structured, the output won't be either.[40:13] — The Learn → Practice → Apply → Reflect cycle: where most people break down is the reflection step. Without asking "What did I learn? Did I like it? What would I do differently?" the cycle can't repeat effectively.[43:15] — Adaptability vs. flexibility: adaptability is accepting that change is coming; flexibility is navigating it once it arrives. These are the top two skills organizations are hiring for — and neither is a technical skill.[44:10] — Individuals who know AI earn a 52% pay premium over those who don't.[45:07] — The one investment SaaS founders can't skip: start using AI themselves and talk about it positively. Use your domain expertise to create context and systems that make your product AI-resilient before disruption forces the conversation.Tweetable Quotes"AI doesn't fix a messy organization. It amplifies it." — Ben Tasker"95% of AI implementations fail — and the 5% that succeed take care of the change management first." — Ben Tasker"You can use it doesn't mean you know how to use it. Just because you have access doesn't mean you have a strategy." — Ben Tasker"Data is the oil to the AI engine. Garbage in, garbage out — at scale." — Ben Tasker"If leaders aren't fully engaged with AI and using it themselves, the rollout is dead on arrival." — Ben Tasker"AI can amplify your organization, but it can also amplify your natural abilities. The two are not the same thing." — Ben Tasker"Context is the new data. If you're not setting up the system to succeed, the end result won't succeed either." — Ben Tasker"Individuals who know AI right now have a 52% premium on pay. If that's not an incentive, I'm not sure what is." — Ben Tasker"We're in the AI Between Times — not fully in the future, but moving out of the past. Change management is what bridges the gap." — Ben Tasker"It's not complete replacement. But it's also not forgetting to upskill your organization. Both have to happen." — Ben TaskerSaaS Leadership Lessons1. Ship culture before you ship the feature. Most AI rollouts fail because leadership announces the tool but skips the story. Before your team touches a new AI system, build a transparent change management campaign: communicate the why, the where, the how, and critically — what not to do. Your people will fill silence with fear. Fill it with clarity first.2. Don't automate a broken process — you'll just scale the chaos. AI amplifies what's already there. If your data is dirty, your workflows are fragmented, or your customer experience is inconsistent, AI won't fix it — it will magnify it. Map the full system front-to-back before you plug in any model. Finance, product, data, ops — all stakeholders belong at the table before implementation, not after.3. Point solutions are the fastest path to failed adoption. The pizza-ordering example is a masterclass in what not to do. When you solve one narrow problem without thinking about the full customer or employee experience, you create friction that erodes trust — and trust, once lost, is expensive to rebuild. Think in systems, not spotfixes.4. Leaders who don't use the tools can't lead the transformation. Mandatory AI training from a leader who has never opened ChatGPT is theater. Your team will follow what you do, not what you announce. Model the behavior. Use AI in your own workflows. Talk about it openly — including the failures. That psychological safety is what makes adoption stick.5. Skills are more durable than job titles. Roles like "Dean of AI" and "prompt engineer" didn't exist three years ago. The titles will keep changing. What won't change is the value of skills: adaptability, systems thinking, communication, analytical reasoning. Build a skills inventory for your organization and create learning pathways before you need to fill a role. Your next AI hire might already be on your payroll.6. The first 12–16 months are the egg — don't rush the hatch. Organizations that win with AI invest heavily in the foundation: data infrastructure, leadership engagement, org-wide literacy, and structured reflection. The ones that rush straight to implementation — running experiments with no strategy, no vision, no metrics — burn budget, burn trust, and burn out their teams. Slow down to go fast. The payoff compounds.Guest Resourcesbentaskerai@gmail.comhttps://www.bentaskerai.comhttp://linkedin.com/in/bentaskeraihttp://instagram.com/bentaskeraiEpisode SponsorThe Futureproof Series -

Helping learners become truly independent means more than fading prompts. It means knowing when to step back so confidence, problem solving, and self-management can grow. While it's natural to want to help, too much adult guidance can unintentionally create dependence that limits opportunities at home, school, work, and in the community.We explore the difference between prompt dependence and people dependence, and why building independence should always be part of the teaching plan from the very beginning. We also share practical strategies for replacing adult prompts with natural supports such as visual schedules, checklists, calendars, timers, self-monitoring systems, and environmental cues that learners can rely on long after direct support has faded.Along the way, we discuss why allowing safe opportunities to struggle is an important part of learning, how collaboration with families and teams supports successful fading, and why thoughtfully reducing support helps learners develop the confidence and skills they need for greater autonomy. Independence is not about removing support. It's about creating systems that evolve with the learner and promote lasting success.What's Inside: Why prompt fading is only one part of building independencePractical tools that reduce reliance on adult supportStrategies for promoting confidence through thoughtful fadingMentioned in This Episode:Episode 105: Hierarchy of Prompting in ABASelf & MatchHowToABA.com/joinHow to ABA on YouTubeFind us on FacebookFollow us on Instagram

AP correspondent Julie Walker reports heavy smoke from wildfires blankets the US Midwest and Northeast, prompting evacuations.

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Donny Wals returns to talk through a year of agentic coding. We go through how it's changed his architecture decisions, reviewing PRs he didn't write himself, managing tasks and context across parallel agents, and the gym-workout crash he fixed from his phone mid-set — plus where he still doesn't trust the agent: SwiftData migrations.GuestDonny WalsDonny Wals

Happy birthday, America! Our democracy has been hijacked by a convicted criminal, sexual predator, Russian mafia goon. We are fighting back like Ukrainians: by rebuilding from the wreckage. That means forcing every single 2028 Democratic presidential hopeful to publicly commit to appointing a mob-busting Attorney General who will actually take on the mafia instead of emboldening it. This week, Allison Gill of MSW Media joins Andrea to discuss the catastrophic failures of Merrick Garland. We break down how to demand an AG who meets this moment, strategies to Trump-and-Putin-proof our democracy, and how to protect ourselves from the Christian nationalist terrorists on the Supreme Court. This week's bonus show is a special segment called All the President's Criminals, featuring Todd Blanche. Trump's personal defense attorney faces a confirmation hearing, to officially become Attorney General, before a pliant Republican Senate. To keep up with the Trump Family's' looting spree, we're now running our bonus shows as extended Tuesday shows, available in full to our listeners on Patreon, Substack, and YouTube members who make Gaslit Nation possible. It's because of you that we can continue to be a reality check, stay grounded in the truth, and deliver independent journalism that helps us rebuild and imagine the world we want to live in. Join our community of listeners and ad free listening, get bonus shows, group chats with other listeners, ways to shape the show, invites to exclusive events like our Monday salons at 4pm ET over Zoom, and more! Discounted annual memberships are available. Become a Democracy Defender at Patreon.com/Gaslit or Substack! EVENTS AT GASLIT NATION: Gaslit Nation Salons take place Mondays 4pm ET over Zoom and are recorded and shared on Patreon.com/Gaslit and GaslitNation.Substack.com for our community New! There's now a California Signal Group for Gaslit Nation listeners to find each other and connect in that state. Join on Patreon or Substack! The Gaslit Nation Outreach Committee discusses how to talk to the MAGA cult: Join on Patreon or Substack! Minnesota Signal group for Gaslit Nation listeners in the state to find each other: Join on Patreon or Substack! Vermont Signal group for Gaslit Nation listeners in the state to find each other: Join on Patreon or Substack! Arizona-based listeners launched a Signal group for others in the state to connect. Join on Patreon or Substack! Indiana-based listeners launched a Signal group for others in the state to join. Join on Patreon or Substack! Florida-based listeners are going strong meeting in person. Be sure to join their Signal group. Join on Patreon or Substack! As always, keep it kind in our chat groups, extend grace and assume good faith. A culture of care is how we build a better world.  Show Notes: 1,200+ Former DOJ Employees Oppose Todd Blanche's Nomination https://www.thejusticeconnection.org/1200-former-doj-employees-oppose-todd-blanches-nomination/ Jack Smith testimony: Full opening statement on Trump probes https://www.youtube.com/watch?v=tuewjQuaWF0 Jack Smith, in his first interview since resigning as Special Counsel: https://www.youtube.com/shorts/WxaXkDfZkpw The World Must Stand Up to Trump's America: The Elie Mystal Interview  https://gaslitnation.libsyn.com/the-world-must-stand-up-to-trumps-america Exclusive: Woman who dated Graham Platner says he sexually assaulted her https://www.politico.com/news/2026/07/06/graham-platner-sexual-assault-allegation-00987737 To date, the DOJ has published around half of the Epstein files: https://www.thedailybeast.com/donald-trumps-acting-attorney-general-todd-blanche-tries-to-dodge-further-release-of-jeffrey-epstein-files/ DOJ alums call on senators to reject Blanche nomination as attorney general https://thehill.com/homenews/administration/5956374-blanche-nomination-faces-opposition/ Trump Installs Top Justice Dept. Official at Library of Congress, Prompting a Standoff: The president named Todd Blanche, the deputy attorney general, as the acting librarian. But staff members refused access to two department officials he chose for key roles at Congress's main research arm. https://www.nytimes.com/2025/05/12/us/politics/trump-library-of-congress.html Immigrant Arrests Surge to 10,000 in 5 Days as ICE Clamps Down: The agency has doubled its daily arrest numbers without the fanfare of last year's large urban operations, sowing fear in immigrant communities: "Markwayne Mullin, the homeland security secretary, pledged to mount a quieter enforcement campaign following the chaos of a monthlong operation in Minnesota, where federal officers killed two U.S. citizens." https://archive.ph/wFIYV#selection-4627.0-4631.144 Tennessee national guard troops shoot man dead in Memphis: Authorities claim Tyrin Johnson, 20, pulled gun on officers controversially deployed at instigation of Trump https://www.theguardian.com/us-news/2026/jul/06/memphis-national-guard-troops-shoot-man Todd Blanche is a surprisingly competent lawyer. And he's on track to keep his client out of jail until the election. https://web.archive.org/web/20260413020342/https://nymag.com/intelligencer/article/trump-trial-lawyer-todd-blanche-defense.html US justice department halts funding for human-trafficking survivors https://www.theguardian.com/us-news/2025/dec/22/justice-department-human-trafficking-survivors-support-funding Thousands of agents diverted to Trump immigration crackdown https://www.reuters.com/world/us/thousands-agents-diverted-trump-immigration-crackdown-2025-03-22/ Who is Boris Epshteyn, the controversial aide by Trump's side in court https://thehill.com/regulation/court-battles/3936390-who-is-boris-epshteyn-the-controversial-aide-by-trumps-side-in-court/ How Todd Blanche Climbed the Ranks in Trumpworld to Acting Attorney General https://www.notus.org/trump-white-house/how-todd-blanche-climbed-the-ranks-in-trumpworld-to-acting-attorney-general-pam-bondi Todd Blanche Is About to Face the Senate. https://www.youtube.com/watch?v=-B9uLK_32To Library of Congress official Trump tried to fire can keep her job for now, Supreme Court says https://www.cnn.com/2026/06/30/politics/supreme-court-allows-library-of-congress-official-trump-tried-to-fire-to-keep-her-job John Solly Is the DOGE Operative Accused of Planning to Take Social Security Data to His New Job https://www.wired.com/story/john-solly-doge-operative-accused-social-security-data-leidos/ Alex Karp Has Money and Power. So What Does He Want? https://www.nytimes.com/2024/08/17/style/alex-karp-palantir.html?smid=url-share

This episode is proudly sponsored by The Finders Keepers. Visit the Finders Keepers Melbourne Design Market from Friday 10 July to Sunday 12 July at the Royal Exhibition Building, Carlton. Book your tickets: Finders Keepers Melbourne tickets Enter MDB at checkout, then choose the My Daily Business 2-for-1 ticket option to claim your exclusive offer. And don't forget to say hello to Fiona who will be running her own Subject Object stall at the market!  This episode explores why one of the most valuable AI skills isn't writing better prompts, it's learning when to challenge the answers. Fiona shares why pushing back on AI leads to stronger thinking, better decisions, and more useful results for your business. You'll learn: Why AI often agrees with you, even when you're wrong How to spot bias and AI "hallucinations" before they catch you out Practical ways to use AI as a thinking partner, not a replacement for your judgement Need help with your own business strategy, impact, visibility or personal brand ? Get in touch: hello@mydailybusiness.com  Connect with My Daily Business: Instagram: @mydailybusiness_ TikTok: @mydailybusiness Email: hello@mydailybusiness.com Website: mydailybusiness.com Resources mentioned: AI Monthly Chat Group for Small Business Owners My Daily Business courses - mydailybusiness.com/courses A huge thanks to our sponsor #gifted a platform that helps businesses connect with real people creating real content, at a fraction of the time and cost of a traditional campaign. My Daily Business listeners can use code MDB50 at checkout for 50% off their first month, on either monthly plan. Check out #gifted. Want to get your #smallbusiness sorted in 2026/ 27? Check out our 1:1 business coaching packages from a one-off session to 6-months of coaching. Want to know more about AI and how to harness it for your small businesS? Join our new monthly AI chat for small business owners. You can join anytime at www.mydailybusiness.com/AIchat Try out my fave AI tool, Poppy AI here and use discount code FIONA. We also love Descript. Connect and get in touch with My Daily Business via our shop, freebies, award-winning books, Instagram and Tik Tok.

What happens when two SLPs and BCBAs get together to tackle the biggest conversations in our fields? You get an honest discussion about collaboration, research, and keeping students at the center of every decision.Today, we're flipping the script and I'm answering some of the questions I hear most often about speech therapy and ABA, from choosing AAC vocabulary to navigating current topics like gestalt language processing, prompting, and aided language modeling. I share why I believe we have to move beyond an "all or nothing" mindset and focus on what the research tells us while making thoughtful, ethical decisions for each individual learner. Dr. Giles and I also dig into functional communication, response forms, and why collecting meaningful data should guide every intervention we use. My hope is that these conversations help bridge the gap between disciplines so we can spend less time debating and more time helping our students communicate with confidence.#autism #speechtherapyWhat's Inside:Why collaboration between SLPs and BCBAs leads to better outcomes for learnersHow I think about AAC vocabulary, response forms, and functional communicationMy perspective on gestalt language processing, prompting, and current researchWhy data driven decision making should shape every communication interventionMentioned In This Episode:Grab Say it With MeEarn CEUs with a community of peers. Join the ABA Speech ConnectionABA Speech: Home

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WHAT IFWhat if you didn't need a tech background, a development team, or even a single line of code to build your own software? Kay Allen-Carr launched a working app in four hours and a full software company in 48. She's not a developer. She's a marketer. And she did it by stopping prompting AI and starting to partner with it — and now she teaches women entrepreneurs to do exactly the same.SUMMARY & GUEST INTROKay Allen-Carr is a data-driven marketer, owner of a seven-figure agency, keynote speaker, and the founder of KAC Marketing and Collab AI. After 15 years climbing from marketing manager to agency partner to business owner, she hit a ceiling — and instead of waiting for the next rung on the ladder, she built an entirely new one. Today she runs her business in roughly ten hours a week, has replaced almost all of her software subscriptions with tools she built herself using AI, and teaches women entrepreneurs how to stop using AI like a search engine and start using it like the business partner they've always needed. No coding required. No tech background necessary. Just a willingness to have a conversation.INSIDE THE EPISODEFrom the Corporate Grind to a Seven-Figure Agency. Kay started at Comcast, moved to an Inc. 500 startup, climbed to partner at a Miami ad agency, and then asked herself: what's next? She breaks down the moment she realized the ladder had run out of rungs — and what she did about it.5am to 8pm to 10 Hours a Week. Kay was a self-described perfectionist and control freak who would redo her team's work rather than trust it. She takes us through the honest before-and-after: the exhausting grind, the expensive senior hires, and how AI completely transformed how she runs her business — and her life.From Prompting to Partnering. The biggest mistake people make with AI isn't using the wrong tool. It's treating it like a search bar. Kay breaks down what it actually means to build a real working relationship with AI — one where you give it the end goal, not a perfectly engineered prompt, and let it figure out the plan.She Built a PR Pitch Tool in Four Hours. A fashion brand client needed PR outreach. Kay didn't hire an agency. She described what she wanted to her AI in plain language, built a working prototype, deployed it, and made it free for anyone to use — all for zero dollars and a few hours of her time. This is what's now possible.Give Your AI a Job Description. Kay's methodology for corporate employees and business owners alike: give your AI a name, a role, defined responsibilities, and access to your institutional knowledge. Stop asking it generic questions and start treating it like a new team member who needs to be onboarded properly — and watch the quality of output transform.Any Repetitive Task Is Fair Game. Marketing reporting. Sales call documentation. Bookkeeping categorization. Email triage. Kay walks through role-specific examples and gives listeners a simple framework: describe your repetitive task to Claude or ChatGPT like you're talking to a friend, ask what can be automated, and see what comes back.Follow Your Intuition. When Erica asks Kay what advice she'd give her former self — the Kay who was nervous to pivot from KAC Marketing to Collab AI — her answer is simple and worth sitting with: “I'm glad you followed your intuition.” AI is the internet of this generation. The people who ignore it will be the ones who said they didn't need a website.SPECIAL OFFER FOR LISTENERSKay is offering Glass Ceilings & Sticky Floors listeners 20% off any Collab AI membership tier (quarterly or annual) with code ERICA20. Use the link below to join.Join Collab AI (20% off with code ERICA20): https://thecollabaicompany.com/RESOURCES & LINKSCollab AI: https://thecollabaicompany.com/KAC Marketing: https://www.kayallencarr.com/LinkedIn: Kay Allen-Carr: https://www.linkedin.com/in/kayallencarr/HER Collective: Send Erica a DM. She'll invite you to sit in on a live HER Collective session as her personal guest. No pressure, no strings attached. RESOURCES & LINKSStart small with me inside HER Jumpstart:https://her-collective.mn.co/plans/1985289?bundle_token=60b2c61d62213cdbd16d437cdc0e4204&utm_source=manual

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WHAT IFWhat if you didn't need a tech background, a development team, or even a single line of code to build your own software? Kay Allen-Carr launched a working app in four hours and a full software company in 48. She's not a developer. She's a marketer. And she did it by stopping prompting AI and starting to partner with it — and now she teaches women entrepreneurs to do exactly the same.SUMMARY & GUEST INTROKay Allen-Carr is a data-driven marketer, owner of a seven-figure agency, keynote speaker, and the founder of KAC Marketing and Collab AI. After 15 years climbing from marketing manager to agency partner to business owner, she hit a ceiling — and instead of waiting for the next rung on the ladder, she built an entirely new one. Today she runs her business in roughly ten hours a week, has replaced almost all of her software subscriptions with tools she built herself using AI, and teaches women entrepreneurs how to stop using AI like a search engine and start using it like the business partner they've always needed. No coding required. No tech background necessary. Just a willingness to have a conversation.INSIDE THE EPISODEFrom the Corporate Grind to a Seven-Figure Agency. Kay started at Comcast, moved to an Inc. 500 startup, climbed to partner at a Miami ad agency, and then asked herself: what's next? She breaks down the moment she realized the ladder had run out of rungs — and what she did about it.5am to 8pm to 10 Hours a Week. Kay was a self-described perfectionist and control freak who would redo her team's work rather than trust it. She takes us through the honest before-and-after: the exhausting grind, the expensive senior hires, and how AI completely transformed how she runs her business — and her life.From Prompting to Partnering. The biggest mistake people make with AI isn't using the wrong tool. It's treating it like a search bar. Kay breaks down what it actually means to build a real working relationship with AI — one where you give it the end goal, not a perfectly engineered prompt, and let it figure out the plan.She Built a PR Pitch Tool in Four Hours. A fashion brand client needed PR outreach. Kay didn't hire an agency. She described what she wanted to her AI in plain language, built a working prototype, deployed it, and made it free for anyone to use — all for zero dollars and a few hours of her time. This is what's now possible.Give Your AI a Job Description. Kay's methodology for corporate employees and business owners alike: give your AI a name, a role, defined responsibilities, and access to your institutional knowledge. Stop asking it generic questions and start treating it like a new team member who needs to be onboarded properly — and watch the quality of output transform.Any Repetitive Task Is Fair Game. Marketing reporting. Sales call documentation. Bookkeeping categorization. Email triage. Kay walks through role-specific examples and gives listeners a simple framework: describe your repetitive task to Claude or ChatGPT like you're talking to a friend, ask what can be automated, and see what comes back.Follow Your Intuition. When Erica asks Kay what advice she'd give her former self — the Kay who was nervous to pivot from KAC Marketing to Collab AI — her answer is simple and worth sitting with: “I'm glad you followed your intuition.” AI is the internet of this generation. The people who ignore it will be the ones who said they didn't need a website.SPECIAL OFFER FOR LISTENERSKay is offering Glass Ceilings & Sticky Floors listeners 20% off any Collab AI membership tier (quarterly or annual) with code ERICA20. Use the link below to join.Join Collab AI (20% off with code ERICA20): https://thecollabaicompany.com/RESOURCES & LINKSCollab AI: https://thecollabaicompany.com/KAC Marketing: https://www.kayallencarr.com/LinkedIn: Kay Allen-Carr: https://www.linkedin.com/in/kayallencarr/HER Collective: Send Erica a DM. She'll invite you to sit in on a live HER Collective session as her personal guest. No pressure, no strings attached. RESOURCES & LINKSStart small with me inside HER Jumpstart:https://her-collective.mn.co/plans/1985289?bundle_token=60b2c61d62213cdbd16d437cdc0e4204&utm_source=manual

Software development has changed a lot. On today's episode, Joe Fabisevich talks about building with AI without falling into the trap of "work slop," why prompting is a communication skill, where Apple fits in, and Broadcast — his new Swift logging library for developers and AI agents.GuestBuild.msJoe Fabisevich :verified: (@mergesort@macaw.social) - Macaw-SocialJoe Fabisevich (@mergesort.me) — BlueskyGithub (@mergesort)https://www.threads.net/@mergesortfabisevi.chRelated LinksArtifacts | Fabisevi.chSupporting Markdown Search For LLMsAI (Without the Hype)WorkslopBeing A 1.5-10x Developermergesort/Broadcast: Simple and composable logging for Swift apps, servers, and coding agents.AtLeast — Passive Timer for Apple WatchMonthBar - Track your month's progressRelated Episodes120% Likely with Cihat GündüzPlatforms State of the Union 2026 with Peter WithamWho's Wendy with Joannis OrlandosActually Really UsefulPractical Year - Part 1 with Donny WalsPlinky with Joe FabisevichChatGPTovski with Kris SlazinskiChapters(00:00) - Work Slop (13:02) - Verifiable Tasks (25:51) - Building Agents (32:06) - Careers & Hiring (43:31) - Daily Setup (53:00) - WWDC 2026 (01:09:07) - AI Economics (01:20:33) - Broadcast Logging WatchClick here to watch a video of this episode. TranscriptClick here to view the episode transcript. Support the Show ★ Support this podcast on Patreon ★  Thanks to our supporters: Thanks to our monthly supporters Steven Lipton  Welcome new supporters: Social MediaLinkedIn - @leogdionGitHub - @brightdigitGitHub - @leogdionMastodon - @leogdion@c.imYouTube - @brightdigitX - @leogdionX - @brightdigitCreditsMusic from https://filmmusic.io "Blippy Trance" by Kevin MacLeod (https://incompetech.com) License: CC BY (http://creativecommons.org/licenses/by/4.0/)

Ever wish your agent would just watch you work and copy you?

In this episode of ASCP Esty Talk, Maggie and Ella talk about command prompting and how the way you communicate with AI shapes the results you get. They break down why vague prompts fall flat, how specificity changes outcomes, and how best to use it in your esthetics practice. ASCP Esty Talk with hosts Ella Cressman and Maggie Staszcuk   Produced by Associated Skin Care Professionals (ASCP) for licensed estheticians, ASCP Esty Talk is a weekly podcast, hosted by licensed estheticians, Ella Cressman, ASCP Skin Deep Magazine contributor, and Maggie Staszcuk, ASCP Program Director. We see your passion, innovation, and hard work and are here to support you by providing a platform for networking, advocacy, camaraderie, and education. We aim to inspire you to ask the right questions, find your motivation, and give you the courage to have the professional skin care career you desire.  About Ella Cressman:  Ella Cressman is a licensed esthetician, certified organic formulator, and business owner with more than 20 years of experience in corrective skin care. Known as an "ingredient junkie" and industry cheerleader, she empowers professionals to think beyond products and develop a deeper understanding of skin function and formulation. In addition to her practice, Cressman is the founder of the HHP Collective, a practitioner-led community focused on strengthening clinical reasoning and advancing professional growth within the esthetics industry.   Connect with Ella Cressman:  Website: www.hhpcollective.com  LinkedIn: linkedin.com/in/ella-cressman-62aa46a    About Maggie Staszcuk:  Maggie Staszcuk serves as the Program Director for ASCP and is the cohost of ASCP Esty Talk podcast. With over 18 years' experience in the esthetics industry, her diverse background includes roles in spa management, spa and med-spa services, and esthetics education. Since becoming a licensed esthetician in 2006, she carries a range of certifications in basic and advanced esthetics. Maggie is dedicated to equipping estheticians with the knowledge and resources they need to thrive in their careers.   Connect with Maggie Staszcuk:  P: 800.789.0411 EXT 1636  E: MStaszcuk@ascpskincare.com    About our Sponsors: Massage Envy is a national franchisor and does not independently own or operate any of the Massage Envy franchised locations nationwide. The Massage Envy franchise network, through its franchise locations, is the leading provider of massage services. Founded in 2002, Massage Envy now has approximately 1,100 franchise locations in 49 states that have together delivered more than 200 million massages and skin care services. Website: www.massageenvy.com/careers/career-areas/esthetician  Facebook: @MassageEnvyCareers LinkedIn: @MassageEnvy   TiZO Mineral Sunscreens set the standard for aesthetic elegance with tinted and non-tinted formulas for use on virtually all skin types and tones. Our name reflects our commitment: TIZO = Titanium dioxide + Zinc Oxides. All TiZO products are reef-friendly and 100% free of chemical sunscreens, dyes, fragrances, gluten, phthalates, and parabens.  TiZO Photoceutical Skincare is the perfect partner to our sunscreens in the fight against photoaging. These silky, elegant products address tone, texture and hydration while helping to prevent further damage. From our flagship TiZO3 Primer/Sunscreen SPF 40 to our gentle Ultra Zinc formulations to our NEW Advanced Vitamin C+E Serum with Bakuchiol, TIZO has the ideal selection of products to Protect, Repair, and Revitalize skin.    Website: https://tizoskin.com/  Facebook: @tizoskin  Pinterest: @tizoskin  Instagram: @tizoskin  YouTube: @tizoskin     GlossGenius Gaps in your schedule. Clients who don't rebook. Tight margins. High payment processing fees. Sound familiar? When you're running your own practice, you don't have time to figure out where you could be making more money. Especially when you're stitching together booking, payments, and a clunky EMR that only makes things harder. That's why we love GlossGenius — the business management platform that does the work for you. It fills your calendar, rebooks clients automatically, upsells high-margin services, and has the lowest flat-rate payment processing fees. Plus, all the HIPAA-compliant tools you need for charting, consents, and client records — without the admin chaos. GlossGenius grows your revenue and handles the busywork, so you can focus on your clients. Use code ESTY at GlossGenius.com for 50% off your first two months of their Gold or Platinum plan. GlossGenius. More Growth. Less Busywork. Visit https://glossgenius.com/ascp for more details.   Face Reality is an award-winning, professional acne brand trusted by thousands of providers. Its clinically tested products, customizable protocols, and provider product training deliver life-changing results across all skin types—empowering professionals to confidently clear even the most stubborn acne. Plus, when you enroll, your $800 certification comes back to you as $800 off your opening order* after completion. *$800 discount code valid on one product order of $1,200 or more. Valid for 30 days after completion of certification. Must enter code at checkout. Offer subject to change.   https://facerealityskincare.com/pages/certification-training Social (TikTok, IG, Facebook): https://www.instagram.com/facerealityskincare/ https://tiktok.com/@facerealityskincare https://www.facebook.com/facerealityskincare   About Associated Skin Care Professionals (ASCP):    Associated Skin Care Professionals (ASCP) is the nation's largest association for skin care professionals and your ONLY all-inclusive source for professional liability insurance, education, community, and career support. For estheticians at every stage of the journey, ASCP is your essential partner. Get in touch with us today if you have any questions or would like to join and become an ASCP member.  Connect with ASCP:  Website: www.ascpskincare.com  Email: getconnected@ascpskincare.com  Phone: 800-789-0411  Facebook: facebook.com/ASCPskincare  Instagram: @ascpskincare 

For 799 episodes, we've cut it to you straight on AI. (Episode 800 will be no different.) To celebrate our 800th episode, we took a ‘State of AI' type look across the sector and broke down three big categories: 8 Uncomfortable AI Truths, 10 Moves Smart Teams Are Making, 10 Questions Every AI Leader Must Ask. Join us as we break it all down. Celebrating our 800th Episode: 8 AI Truths, 10 Smart AI Moves and 10 Questions You Must ask — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Eight Uncomfortable AI Truths for LeadersAI Model Risk: Single-Model DependencyMoats Shifting to AI Operating LayersWorkflow Design vs. Prompting in AIStatic Business Artifacts Becoming AI DebtWorkflow Automation and AI Task ReshapingOpen Weight Models as AI ResilienceAgentic AI: Operational vs. Theoretical RisksTen Smart AI Team Moves ExplainedPortable AI Stack Building StrategiesWorkflow Mapping Before AI Tool AdoptionBuilding Role-Specific AI Skill PacksAutomating Reports and Briefings with AIConverting Static Files to Living ArtifactsAI Agent Deployment: Read-Only Mode TestingRouting Work by Model Value and CostMeasuring AI Output Quality, Not ActivityRed Teaming AI Workflows Beyond ModelsCapturing AI Decision Reasoning for BusinessTen Critical AI Questions for LeadersTimestamps:00:00 Episode 800: 8 AI Truths, Leader Moves05:40 Rising Trend of AI Super Apps07:37 AI series and future capabilities13:01 Challenges of AI Implementation14:33 Impact of AI on Work Processes19:44 Microsoft's open-source AI strategy23:24 Avoiding shiny new AI tools25:44 Using marketing skill packs29:38 Criticism of human-in-the-loop systems33:44 Managing AI and Cost Efficiency35:50 Evaluating AI content effectiveness40:15 Key questions for leaders42:35 Challenges in AI workflow management44:52 Evaluating AI costs and outputs48:20 The rise of AI capabilitiesKeywords: AI truths, AI workflow automation, generative AI, artificial intelligence, AI model risk, single model strategy, business continuity, model export control, government AI policy, operating layer, AI super apps, codex, unified memory, large language models, agentic AI, workflow design, AI prompting, scheduled tasks, AI skills, context engineering, static business artifacts, organizational debt, AI native deliverables, autonomous AI, AI job redesignSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Preview for Later Today: Fraser Howie discusses the tragic decline of the U.S. global alliance network. He observes that allies in Asia and Europe now view America as unreliable, prompting a shift toward self-reliance and independent security strategies.1903 BRUSSELS

H.W. Brands describes how, by the summer of 1939, the destruction of Poland by German and Soviet forces confirmed that war was imminent, prompting Roosevelt to invoke neutrality laws as required by Congress. Despite his desire for privacy, Lindbergh began using his celebrity status to secure national radio airtime, feeling a duty to prevent Americafrom repeating what he viewed as the "mistake" of the First World War. His father, a former congressman, had been driven out of politics for opposing American intervention in 1917, a legacy that instilled in Lindbergh a profound distrust of politics as a "mean business" where truth was rare. Lindbergh argued that Britain and France were launching a war they could not win and would eventually force the United States into a permanent presence in Europe. During this period, he consulted with figures like Herbert Hoover, who suggested forming a committee that would eventually become "America First," and visited the "House of Morgan" through his wife's family connections. British observers, such as Harold Nicolson, were less impressed, dismissing Lindbergh as a "schoolboy" who possessed technical talent but lacked a mature understanding of diplomacy and the complexities of governing a great empire. Lindbergh remained unfazed by British criticism, asserting that he was an American and that his country's interests were distinct from those of the British Empire. (2)1936

I will teach you how to turn your last 90 days of chats into a custom prompting guide built just for you. Here is the link to the companion Substack blog post with all of the copy and paste prompts: https://tinyurl.com/Companion-Ep3-Prompt-Guide My full collection of growth hacks, playbooks, and meta prompts lives on my Substack at: https://ClaudeGenius.com

Send us Fan MailArtificial Intelligence is changing faster than most of us can keep up with—and whether you love it or hate it, it's already starting to impact the welding and fabrication industry.In this episode, I sit down with Dan Cocks from DC Built to talk about how we're actually using AI in our businesses today. From creating customer renderings and speeding up design work to building software, solving problems, and automating repetitive tasks, we share the tools and workflows that are helping us get more done with less effort.But the conversation doesn't stop there.We dive into the future of fabrication and discuss what happens when AI starts working alongside robotics, cobots, laser welders, CNC equipment, and automated material handling systems. Could a small shop one day have the output of a much larger company? How close are we really to that becoming reality?Whether you're already experimenting with AI or you're still trying to figure out what all the hype is about, this episode will give you a practical look at where the technology is today—and where it's headed next.Topics we cover:• Using AI to create customer renderings and concepts• Chat GPT, Claude, and other AI tools• Prompting techniques that get better results• Building software and automations with AI• AI agents and workflow automation• The future of robotic welding and fabrication• How AI could impact small welding businesses• Why technology is becoming more accessible than everIf you're a welding business owner, fabricator, shop manager, or anyone interested in where the trades are headed, this is a conversation you won't want to miss.#WeldingBusinessOwnersPodcast #WeldingBusiness #Fabrication #ArtificialIntelligence #AI #ChatGPT #WeldingShop #Manufacturing #Automation #Robotics #SmallBusinessSeptember 11th and 12th. www.WeldingBusinessSummit.comwww.FabricatorOlympics.com

(7) Josiah Osgood describes the Civil War's onset as Caesar crossed the Rubicon, prompting Pompey and Cato to evacuate Italy for the East. Caesar utilized a strategy of clemency and maintained iron discipline, even executing mutineers in the Ninth Legion. After Pompey was defeated at Pharsalus and murdered in Egypt, Cato led the Republican remnant to Utica. Following Caesar's final victory in Africa, Cato refused to beg for mercy, choosing a graphic suicide to deny Caesar a political triumph. His death transformed him into a martyr, marring Caesar's victory and the future imperial regime.CLAUDIS BEGS FOR HIS LIFE

Preview for Later Today: Bob Zimmerman explains recurring leaks in the Zvezda module of the International Space Station. These stress-related cracks could lead to catastrophic failure, prompting NASA to secure the American section during docking operations.