Podcasts about pdfs

Cancelled flights, longer routes, higher prices: the war in Iran is taking its toll on the airline industry. The conflict may force lasting change on the big Gulf carriers. We ask why the once-frothy fake-meat industry is losing its bite. And why PDFs, one of technology's most pervasive file types, may meet their end thanks to AI. Guests and hosts:Simon Wright, industry editorHollie Berman, news editorShera Avi-Yonah, business writerRosie Blau, co-host of “The Intelligence”Jason Palmer, co-host of “The Intelligence”Topics covered: airline industry, Iran warmeat substitutes, plant-based meatsPDFs, AIGet a world of insights by subscribing to Economist Podcasts+. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account. Hosted on Acast. See acast.com/privacy for more information.

Cancelled flights, longer routes, higher prices: the war in Iran is taking its toll on the airline industry. The conflict may force lasting change on the big Gulf carriers. We ask why the once-frothy fake-meat industry is losing its bite. And why PDFs, one of technology's most pervasive file types, may meet their end thanks to AI. Guests and hosts:Simon Wright, industry editorHollie Berman, news editorShera Avi-Yonah, business writerRosie Blau, co-host of “The Intelligence”Jason Palmer, co-host of “The Intelligence”Topics covered: airline industry, Iran warmeat substitutes, plant-based meatsPDFs, AIGet a world of insights by subscribing to Economist Podcasts+. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account. Hosted on Acast. See acast.com/privacy for more information.

What do we do when tough trials pop up in our life, no matter how big or silly they may seem? Let's look at Genesis 42:28. And grab study guides for the whole family here: - To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeU-Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/Get our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

What's the best tool for making PDFs accessible? It's the question we get constantly, and the honest answer might surprise you. There isn't one. In this episode of Chax Chat, Chad and Dax break down how the "best" accessibility tool depends entirely on your starting point. Are you working in Word, InDesign, PowerPoint, Google Docs, or Canva? Do you have a tagged PDF, an untagged PDF, or a scanned document? Each scenario changes the strategy. We discuss why "born accessible" is always better than heavy remediation, when Adobe's auto-tagging can actually help, why tools like MadeToTag and Access Word continue to be game changers, and how platforms like CommonLook, PDFix, PREP, and Grackle fit into the workflow. We also talk about handling scanned PDFs, the realities of screen reader testing, and why bookmarks aren't the navigation solution many people think they are. If you've ever felt overwhelmed trying to choose the right accessibility tool, this episode will help you stop chasing a magic solution and start making smarter decisions based on context. Every other week, we unravel accessibility so you can build more inclusive, compliant, and practical documents.     Screen Readers NVDA https://www.nvaccess.org JAWS https://www.freedomscientific.com/products/software/jaws Apple Voice Over https://www.apple.com/accessibility/vision   Color Checkers TPGi Color Contrast Analyzer https://www.tpgi.com/color-contrast-checker WebAIM Color Contrast Checker https://webaim.org/resources/contrastchecker 8-Shapes Contrast Grid https://contrast-grid.eightshapes.com Microsoft Color Simulations https://www.microsoft.com/design/color Sim Daltonism https://michelf.ca/projects/sim-daltonism Daltonizer https://play.google.com/store/apps/ Adobe Illustrator https://www.adobe.com Adobe Photoshop https://www.adobe.com Color.Adobe https://color.adobe.com/   Acrobat Plugins CommonLook PDF https://commonlook.com Callas PDFgoHTML https://www.callassoftware.com   MS Word Plugins CommonLook Office https://commonlook.com axesWord https://www.axes4.com   Google Extension Grackle Docs https://www.grackledocs.com   InDesign Plugins MadeToTag https://www.axaio.com/madetotag   PDF Remidiators Adobe Acrobat Pro DC https://www.adobe.com/acrobat Adobe Bridge https://www.adobe.com axesPDF https://www.axes4.com Abby Fine Reader https://www.abbyy.com/ PDFix https://pdfix.net Responsive Table Generator Tool https://ianrmedia.unl.edu/website-resources/responsive-table-generator-tool/ Grackle PDF https://www.grackledocs.com/grackle-pdf Vengage https://venngage.com PREP (Continual Engine) https://www.continualengine.com/prep   PDF Checker PAC Checker 2026 https://pac.pdf-accessibility.org CommonLook Validator https://netcentric.allyant.com/accessibility-software/pdf-validator/   InDesign Scripts Keith Gilbert InDesign Scripts https://gilbertconsulting.com   Virtualization for Mac Parallels Desktop https://www.parallels.com Windows OS https://www.microsoft.com/windows Karabiner-Elements https://karabiner-elements.pqrs.org    

Today we're studying Genesis 42:21 in just one minute! Grab your scriptures and let's dive into them together!And grab study guides for the whole family here: -Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/- To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeUGet our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Today we are talking about World Cancer Day, how they use Drupal, and why Drupal was the right choice with our guests Charles Andrew Revkin & Diego Costa. We'll also cover PDFa11y as our module of the week. For show notes visit: https://www.talkingDrupal.com/544 Topics What Is World Cancer Day Why UICC Uses Drupal Diego Joins the Project Multilingual Strategy at Scale Drupal Architecture and AI Tools Vetting AI Moderation and Summaries AI Disclosure and Review Traffic Spikes and Scaling Drupal Stack and React Apps Campaign Theme United by Unique Yearly Content and Three Year Cycle Drupal Community and Open Access Custom AI Modules and Azure Future Improvements and AI Tagging Story Submission Formats Prevention PSA and Wrap Up Resources World Cancer Day Union for International Cancer Control Guests Diego Costa - 1xinternet.com diegofcosta Charles Andrew Revkin - worldcancerday.org revkin Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Steve Wirt - civicactions.com Swirt MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to check PDF files for accessibility, as they're uploaded to your Drupal site? There's a module for that. Module name/project name: PDFa11y Brief history How old: created in Feb 2026 by Joshua Mitchell (joshuami), a friend of this podcast Versions available: 1.0.1, which works with Drupal 10.2 and 11 Maintainership Actively maintained Security coverage in process Test coverage Number of open issues: none Usage stats: 0 sites Module features and usage With the PDFa11y module installed, you can set its configuration, including whether to enable or disable automatic checking on upload, whether to block uploads that fail checks or just show warnings, a minimum PDF version requirement, and which accessibility checks to run The module also sets creates three new permissions, Administer PDF accessibility settings, Run PDF accessibility checks, and View PDF accessibility report Each PDF media item has an "Accessibility" tab where anyone with the necessary permissions can view the check results Under the hood PDFa11y uses the smalot/pdfparser library to extract data from PDF files Many sites rely on PDFs to make available content that they aren't able to migrate directly into Drupal content, so making sure that doesn't introduce its own accessibility regressions is an important step

MERCH ALERT! Perfect gifts for TPS listeners...Delightful almond-scented soap that contains a full set of dice! You can get yours here: https://fantasy-scents.com/products/total-party-skill-dice-soap-dungeons-bubbles This week's segments: 1. Shops & Economy 2. Homebrewing "The Couch Potato" 3. Tier Ranking Origin Feats Support us on Patreon https://www.patreon.com/c/TotalPartySkill/home to get access to PDFs of our homebrew and see uncut video from the podcast! Plus, bonus content exclusive only to patrons! Subscribe for more weekly Dungeons & Dragons content! And follow us on our socials for previous draft videos and to learn more about us: Gabe -- @gabespan (TikTok, Instagram) George -- @dmgeorge_primavera (Instagram, TikTok) Dylan -- @whatcha_mccollum (Instagram)

Listen to Big Picture to get the quick context for this week's reading, Genesis 42-50!And grab study guides for the whole family here: - To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/hd85Cuj-Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/Get our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Check out host Bidemi Ologunde's new show: The Work Ethic Podcast, available on Spotify and Apple Podcasts.Email: bidemiologunde@gmail.comIn this episode, host Bidemi Ologunde examines the latest trends on narcotics and vice investigations across the United States. Why are fentanyl and meth still driving so many major cases even as overdose deaths decline? How are investigators connecting drug trafficking, commercial vice, and interstate networks? And what do recent enforcement patterns across dozens of states reveal about where these investigations may be headed next?Sponsors and partners:Promeed: 100% mulberry silk pillowcases and bedding that feel incredibly soft, stay breathable, and are naturally gentle on hair and skin.SurviveX: professional-grade FSA/HSA eligible first aid and preparedness kits designed in Virginia, USA and produced in an FDA-registered facility.Alison US CA: Alison is the world's largest free online learning and skills-training platform, helping more than 50 million learners in 193+ countries build career-ready skills with 6,000+ free courses, certificates, and diplomas.eSign (iOS only): eSign is a clean, privacy-first document-signing app that works entirely on your device, letting you sign PDFs, DOCX files, images, and scans, edit and assemble pages, and export crisp 300 DPI PDFs in seconds, without accounts, cloud uploads, or compromising sensitive documents.Support the show

This month's theme is "Hope in Suffering"James 1:2-4“Consider it all joy, my brothers, when you encounter various trials, for you know that the testing of your faith produces perseverance. And let perseverance be perfect, so that you may be perfect and complete, lacking in nothing.”(NAB Translation)***2026 PILGRIMAGE TO PORTUGAL & SPAIN with Kim Zember, Bobby and Jackie Angel, Fr. Edwin Leonard, including Fatima, Eucharistic Miracle of Santarem, sites of St. Anthony of  Padua, St. Teresa of Avila, St. John of the Cross and more!, September 20-29, 2026Click here for more info: https://selectinternationaltours.com/product/a-pilgrimage-to-portugal-and-spain-with-kim-zember-jackie-and-bobby-angel-and-fr-edwin-leonard/****PATREON: For downloadable and printable PDFs of each scripture verse, support us on Patreon at Patreon.com/JackieandBobby at the $5/month level!***“Memorize Scripture” Book NOW AVAILABLE!Get 10% off!Link to Order:https://avemariapress.com/?ref=JACKIE10PROMO CODE: JACKIE10

Today we're studying Genesis 41:38 in just one minute! Grab your scriptures and let's dive into them together!And grab study guides for the whole family here: -Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/- To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeUGet our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

You keep hearing about AI, but nobody is telling you how it actually fits into a biotech career or a job search. That changes today.In this episode, Carina sits down with Heather Karner, a bench scientist with a background in RNA biology who works alongside machine learning researchers in the Bay Area. Heather is actively job searching and has quietly become the go-to AI resource for her lab and her network, not because she is a tech expert, but because she started experimenting and never stopped.Together they share the exact AI use cases they are running right now: a personalized daily brief that flagged Gilead and Eli Lilly RNA acquisitions before they hit LinkedIn, a literature review workflow built for scientists, how to use AI as a tireless teacher for coding and lab protocols, AI note taking that surfaced 10 action items from a 10-minute meeting, and how to turn a rambling brain dump into a clear, professional message.

How do we make sure credit goes to the correct person? Let's dive in and study Genesis 41:16. And grab study guides for the whole family here: - To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeU-Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/Get our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Check out host Bidemi Ologunde's new show: The Work Ethic Podcast, available on Spotify and Apple Podcasts.Email: bidemiologunde@gmail.comIn this episode, host Bidemi Ologunde sits down with Kirsten Karchmer, CEO of Conceivable, to explore how technology, behavioral science, and evidence-based integrative medicine are reshaping fertility care and women's health. How do you turn complex health data into simple daily action? Where can AI genuinely improve outcomes, and where does trust begin to break down? Kirsten shares her journey from becoming one of North America's first reproductive acupuncturists to building tech-enabled, more accessible solutions for women navigating the path to parenthood. You can also find Kirsten on TikTok: @yourfertilityexpertSponsors and partners:Promeed: 100% mulberry silk pillowcases and bedding that feel incredibly soft, stay breathable, and are naturally gentle on hair and skin.SurviveX: professional-grade FSA/HSA eligible first aid and preparedness kits designed in Virginia, USA and produced in an FDA-registered facility.Alison US CA: Alison is the world's largest free online learning and skills-training platform, helping more than 50 million learners in 193+ countries build career-ready skills with 6,000+ free courses, certificates, and diplomas.eSign (iOS only): eSign is a clean, privacy-first document-signing app that works entirely on your device, letting you sign PDFs, DOCX files, images, and scans, edit and assemble pages, and export crisp 300 DPI PDFs in seconds, without accounts, cloud uploads, or compromising sensitive documents.Support the show

In this week's episode of the PolicyViz Podcast, I chat with Michael Gethers, former Head of Data & Strategy for the McLaren IndyCar team, about how a personal side project analyzing IndyCar timing PDFs turned into a job building real-time data tools for a professional race team. We dig into what it's like to design data products for engineers, strategists, and drivers who need to understand information instantly while a car is on track. Michael shares how he moved from making public visualizations on Twitter to building an internal analytics application from scratch, why “pretty charts” weren't enough for the engineers, and how user feedback shaped the product. We also talk about race strategy as a probabilistic data science problem, the difference between dashboards and data products, and what he learned about designing for cognition under extreme time pressure. If you care about dashboards, data storytelling, or building tools people truly use, this conversation is a goldmine.Keywords: data dashboards, data product design, data visualization, motorsports analytics, race strategy, McLaren IndyCar, telemetry data, timing data, data science in sports, user centered design, dashboard design, real time analytics, D3 visualization, data engineering, analytics applicationSubscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthFollow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

Adobe InDesign now includes an AI Alt-text generator. The new InDesign AI Alt-text generator automatically creates image descriptions for accessibility. But should designers trust it? Here's what to know before using automated Alt-text in accessible PDFs.

In this episode of the We LOVE Arabian Horses Podcast, host Paul Kostial chats with Kelly Huston and Lucy Mertens from the Arabian Horse Association to talk about some important updates that make life easier for Arabian horse owners and breeders.From fillable forms and easier submission processes to DNA testing and chain-of-ownership issues, this conversation explores the behind-the-scenes work happening at AHA to modernize and streamline services for members.Kelly shares how the organization is making paperwork easier through fillable PDFs, clearer payment information on forms, and the ability to submit Transfer of Service Certificates by email. She also discusses the new “Let's Talk About” educational topics being shared through the monthly Insider to help answer common questions from the community.Lucy dives into DNA testing procedures, explains what happens when unknown DNA results or broken chains of ownership appear, and describes how sending hair samples directly to the office can speed up processing.The conversation also touches on the growing use of passports for domestic purposes, why early submission of paperwork helps protect the horse's identity, and how these systems ultimately support the integrity of the Arabian horse registry.Whether you are a breeder, owner, or new enthusiast learning the ropes, this episode provides valuable insight into the systems that document and protect the Arabian horse.

How in the world was Joseph considered a prosperous man?! Let's study Genesis 39:2, 23 today! And grab study guides for the whole family here: - To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeU-Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/Get our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Check out host Bidemi Ologunde's new show: The Work Ethic Podcast, available on Spotify and Apple Podcasts.Email: bidemiologunde@gmail.comIn this episode, host Bidemi Ologunde unpacks three global signals from the week of March 2 to March 8, 2026, spanning international relations, geopolitics, and law & crime. What happens when diplomacy becomes more transactional, geography starts driving power more than rhetoric, and governments begin blending criminal enforcement with national security? Bidemi also breaks down the latest U.S.-Israel-Iran war updates and asks what they reveal about leadership, energy markets, and the risk of wider escalation. Is the world entering a more fragmented, more coercive, and less predictable era?Sponsors and partners:Promeed: 100% mulberry silk pillowcases and bedding that feel incredibly soft, stay breathable, and are naturally gentle on hair and skin.SurviveX: professional-grade FSA/HSA eligible first aid and preparedness kits designed in Virginia, USA and produced in an FDA-registered facility.Alison US CA: Alison is the world's largest free online learning and skills-training platform, helping more than 50 million learners in 193+ countries build career-ready skills with 6,000+ free courses, certificates, and diplomas.eSign (iOS only): eSign is a clean, privacy-first document-signing app that works entirely on your device, letting you sign PDFs, DOCX files, images, and scans, edit and assemble pages, and export crisp 300 DPI PDFs in seconds, without accounts, cloud uploads, or compromising sensitive documents.Support the show

What happens when you stop seeing limits as a stop sign and start seeing them as an invitation? In Episode 216 of the I Dare You Podcast, I sit down with Kyle and Brent Pease. They are a world-renowned push-assist brother duo, disability advocates, and the co-founders of The Kyle Pease Foundation. Together, they have completed hundreds of endurance events and made history as the first brother team to complete the IRONMAN World Championship in Kona, Hawaii, as a push-assist duo. Kyle was born with cerebral palsy, and his journey is a masterclass in resilience, joy, and leadership. As Executive Director of The Kyle Pease Foundation, Brent is the engine, the coach, and the steady force behind the logistics. Kyle is the spirit, the mindset, and the reminder that the hardest part is often the mental fight. In this conversation, we talk about what race day really looks like, what inclusion actually means in everyday life, and why their mission goes far beyond the finish line. This episode will challenge you to get curious, take the next step, and include people in ways that actually matter. Remember, grab your FREE, custom-designed PDFs at idareyoupod.com Connect with Kyle, Brent, and The Kyle Pease Foundation Website: http://www.kylepeasefoundation.org/ Instagram: @thekylepeasefoundation

People don't fail under pressure. They reveal their level of self-leadership.“I almost reacted. Then I remembered: sovereignty is a choice.”Three kryptonites to human awakening, personal growth, and real leadership:• Validation loops• Not learning self-regulation• Unembodied intellectual leaders who lack integrationThe last one often looks like leaders who:– model epistemic laziness– amplify polarization– rely on tribal certainty– manipulate emotional charges– reinforce biases and divisive narrativesTogether with broader emotional immaturity, these patterns keep people stuck in non-leadership roles within themselves.And when people cannot lead themselves, they cannot lead others.You can see the impact inside organizations:Mediocrity becomes normalized.Work-life balance deteriorates.Employee morale drops.Why?Because the capacity to stay emotionally steady and mentally clear under activation is missing.Self-leaders choose differently.They build nervous system fluency.They train the pause.They respond consciously instead of reacting automatically.That inner work is decisive in how you show up everywhere:in leadership, in conflict, in business, and in life.If you practice journaling or reflective mindset work, I've created prompt-based PDFs and inner-growth micro-habit exercises designed to help build emotional steadiness and self-leadership.You can explore them in my Payhip store.✨ Start Here — Inner Growth Framework & BundlesExplore the complete Inner Growth ecosystem (awareness → resilience → embodied self-leadership):

"We built entire cities using PDFs and drawings. That's not a failure — that's a miracle. Now imagine what we build with the right tools."In today's episode of Bricks and Bytes, we had Alain Waha, CTO at BuroHappold Engineering, discussing AI transformation, the future of physical AI, and why 2026 already feels like three years have passed in nine weeks.Tune in to find out about:✅ Why construction being the least digitized industry is actually its biggest opportunity right now ✅ How AI is finally solving the Tower of Babel problem that's plagued AEC for decades ✅ Why firms need to choose — compete on cost or build a value brand — before it's too late ✅ Why foundational AI models for the physical world don't exist yet, and what it'll take to get thereCatch the full episode on Spotify and YouTube

Today we're studying Genesis 37:21 in just one minute! Grab your scriptures and let's dive into them together!And grab study guides for the whole family here: -Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/- To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeUGet our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

This week, Tee sits down with Dr. Chris DeArmitt, founder of the Plastics Research Council and author of The Plastics Paradox and Shattering the Plastics Illusion (both available as free PDFs), to unpack some of the most persistent myths surrounding plastics, microplastics, waste, and human health. Dr. DeArmitt explains that his work began after his daughters were taught in school that plastics do not degrade, a claim he says is false and led him to independently review roughly 6,000 scientific studies, sharing primary sources publicly to encourage verification rather than fear-based conclusions. Dr. DeArmitt also argues that public perception of plastics is largely shaped by media narratives and unexamined online claims, often reinforced by billionaire- and NGO-funded campaigns that conflate plastics with fossil fuels while overlooking full lifecycle analyses. He points to studies comparing grocery bags, noting that plastic frequently has a lower overall environmental impact than paper or cotton unless reusable bags are reused many times. He also challenges widely repeated claims like the "Texas-sized floating plastic island," calling it a myth rooted in translation errors and hypothetical modeling, and says measured samples from ocean gyres show predominantly fishing gear, with minimal consumer items such as plastic bags. The conversation turns to health and household concerns, where Dr. DeArmitt maintains that FDA-approved food-contact plastics are rigorously tested for safety and that "natural" does not automatically mean non-toxic. While Tee remains cautious—sharing a personal BPA test result linked to a coffee maker—DeArmitt clarifies that BPA is not used in most common plastics and is more closely associated with polycarbonate products and thermal receipts, while phthalate exposure can come from sources like perfumes and certain medications. They also discuss recycling as helpful but overemphasized, arguing it does little to address litter, which Dr. DeArmitt attributes largely to behavior and enforcement rather than materials. The episode closes with a shared call for listeners to verify sources, understand labels, and make informed choices amid competing industry and advocacy narratives.   Connect with Dr. Chris:  Plastic Research Council  The Plastics Paradox Shattering the Plastics Illusion LinkedIn  Follow Therese "Tee" Forton-Barnes and The Green Living Gurus: Austin Air Purifiers: For podcast listeners, take 15% off any Austin Air product; please email Tee@thegreenlivinggurus.com and mention that you want to buy a product and would like the discount. See all products here: Austin Air The Green Living Gurus' Website  Instagram YouTube Facebook Healthy Living Group on Facebook Tip the podcaster! Support Tee and the endless information that she provides: Patreon Venmo: @Therese-Forton-Barnes last four digits of her cell are 8868 For further info, contact Tee: Email: Tee@thegreenlivinggurus.com Cell: 716-868-8868   DISCLAIMER: ALL INFORMATION PROVIDED HERE IS GENERAL GUIDANCE AND NOT MEANT TO BE USED FOR INDIVIDUAL TREATMENT. PLEASE CONTACT YOUR PROVIDER OR DOCTOR FOR MEDICAL ADVICE.   Produced By: Social Chameleon

MERCH ALERT! Perfect gifts for TPS listeners...Delightful almond-scented soap that contains a full set of dice! You can get yours here: https://fantasy-scents.com/products/total-party-skill-dice-soap-dungeons-bubbles This week's segments: 1. Pets & Summons 2. Homebrewing "Shards of the Broken Sky" 3. Draft of Fictional Items to Put in D&D Support us on Patreon https://www.patreon.com/c/TotalPartySkill/home to get access to PDFs of our homebrew and see uncut video from the podcast! Plus, bonus content exclusive only to patrons! Subscribe for more weekly Dungeons & Dragons content! And follow us on our socials for previous draft videos and to learn more about us: Gabe -- @gabespan (TikTok, Instagram) George -- @dmgeorge_primavera (Instagram, TikTok) Dylan -- @whatcha_mccollum (Instagram)

Listen to Big Picture to get the quick context for this week's reading, Genesis 37-41!And grab study guides for the whole family here: - To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/hd85Cuj-Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/Get our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Check out host Bidemi Ologunde's new show: The Work Ethic Podcast, available on Spotify and Apple Podcasts.Email: bidemiologunde@gmail.comIn this episode, host Bidemi Ologunde explores the rapid rise of prediction and betting markets, and why more people are suddenly treating odds as a serious signal about the future. What is driving their mainstream adoption now? Why are platforms moving beyond sports into politics, economics, and war-risk speculation? And when markets start pricing everything from championship games to the possibility of conflict with Iran, are they revealing collective intelligence, or just turning uncertainty into entertainment?Sponsors and partners:Promeed: 100% mulberry silk pillowcases and bedding that feel incredibly soft, stay breathable, and are naturally gentle on hair and skin.SurviveX: professional-grade FSA/HSA eligible first aid and preparedness kits designed in Virginia, USA and produced in an FDA-registered facility.Alison US CA: Alison is the world's largest free online learning and skills-training platform, helping more than 50 million learners in 193+ countries build career-ready skills with 6,000+ free courses, certificates, and diplomas.eSign (iOS only): eSign is a clean, privacy-first document-signing app that works entirely on your device, letting you sign PDFs, DOCX files, images, and scans, edit and assemble pages, and export crisp 300 DPI PDFs in seconds, without accounts, cloud uploads, or compromising sensitive documents.Support the show

This month's theme is "Hope in Suffering"1 Peter 5:10And after you have suffered a little while, the God of all grace, who has called you to his eternal glory in Christ, will himself restore, establish, and strengthen you.(RSV2CE Translation)***2026 PILGRIMAGE TO PORTUGAL & SPAIN with Kim Zember, Bobby and Jackie Angel, Fr. Edwin Leonard, including Fatima, Eucharistic Miracle of Santarem, sites of St. Anthony of  Padua, St. Teresa of Avila, St. John of the Cross and more!, September 20-29, 2026Click here for more info: https://selectinternationaltours.com/product/a-pilgrimage-to-portugal-and-spain-with-kim-zember-jackie-and-bobby-angel-and-fr-edwin-leonard/****PATREON: For downloadable and printable PDFs of each scripture verse, support us on Patreon at Patreon.com/JackieandBobby at the $5/month level!***“Memorize Scripture” Book NOW AVAILABLE!Get 10% off!Link to Order:https://avemariapress.com/?ref=JACKIE10PROMO CODE: JACKIE10

Today we're studying Genesis 30:1,14, 22-23 in just one minute! Grab your scriptures and let's dive into them together!And grab study guides for the whole family here: -Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/- To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeUGet our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Join us on the STILL RELEVANT tour: https://simulationtheory.ai/16c0d1db-a8d0-4ac9-bae3-d25074589a80Join Simtheory: https://simtheory.ai

What does it actually mean to represent a client — not just open doors and fill in blanks on PDFs? In this episode, Tony sits down with Travis Maddox from Edge Homes to break down the real skill gap in real estate: agents who don't know their contracts, can't explain deadlines, and have never heard of a Resolution of Due Diligence Addendum. They cover how to close the experience gap through intentional roleplay and live reps, why communication is the foundation of true representation, the contract pitfalls that get agents (and their clients) in serious trouble, and how to build trust with builder's agents without getting cut out of deals. Whether you're new to real estate or a seasoned agent looking to sharpen up, this one's packed with real talk.

People don't fail under pressure. They reveal their level of self-leadership.“I almost reacted. Then I remembered: sovereignty is a choice.”Three kryptonites to human awakening, personal growth, and real leadership:• Validation loops• Not learning self-regulation• Unembodied intellectual leaders who lack integrationThe last one often looks like leaders who:– model epistemic laziness– amplify polarization– rely on tribal certainty– manipulate emotional charges– reinforce biases and divisive narrativesTogether with broader emotional immaturity, these patterns keep people stuck in non-leadership roles within themselves.And when people cannot lead themselves, they cannot lead others.You can see the impact inside organizations:Mediocrity becomes normalized.Work-life balance deteriorates.Employee morale drops.Why?Because the capacity to stay emotionally steady and mentally clear under activation is missing.Self-leaders choose differently.They build nervous system fluency.They train the pause.They respond consciously instead of reacting automatically.That inner work is decisive in how you show up everywhere:in leadership, in conflict, in business, and in life.If you practice journaling or reflective mindset work, I've created prompt-based PDFs and inner-growth micro-habit exercises designed to help build emotional steadiness and self-leadership.You can explore them in my Payhip store.✨ Start Here — Inner Growth Framework & BundlesExplore the complete Inner Growth ecosystem (awareness → resilience → embodied self-leadership):

People don't fail under pressure. They reveal their level of self-leadership.“I almost reacted. Then I remembered: sovereignty is a choice.”Three kryptonites to human awakening, personal growth, and real leadership:• Validation loops• Not learning self-regulation• Unembodied intellectual leaders who lack integrationThe last one often looks like leaders who:– model epistemic laziness– amplify polarization– rely on tribal certainty– manipulate emotional charges– reinforce biases and divisive narrativesTogether with broader emotional immaturity, these patterns keep people stuck in non-leadership roles within themselves.And when people cannot lead themselves, they cannot lead others.You can see the impact inside organizations:Mediocrity becomes normalized.Work-life balance deteriorates.Employee morale drops.Why?Because the capacity to stay emotionally steady and mentally clear under activation is missing.Self-leaders choose differently.They build nervous system fluency.They train the pause.They respond consciously instead of reacting automatically.That inner work is decisive in how you show up everywhere:in leadership, in conflict, in business, and in life.If you practice journaling or reflective mindset work, I've created prompt-based PDFs and inner-growth micro-habit exercises designed to help build emotional steadiness and self-leadership.You can explore them in my Payhip store.✨ Start Here — Inner Growth Framework & BundlesExplore the complete Inner Growth ecosystem (awareness → resilience → embodied self-leadership):

What can we learn from Jacob's declaration about Rachel? Let's study Genesis 29:20. And grab study guides for the whole family here: - To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeU-Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/Get our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Check out host Bidemi Ologunde's new show: The Work Ethic Podcast, available on Spotify and Apple Podcasts.Email: bidemiologunde@gmail.comIn this episode, host Bidemi Ologunde sits down with JoJo Kalita, Vice President of Partnerships and ACTOverse at ACTO. JoJo is a tech leader with over a decade of experience across Operations, Customer Success, and now Partnerships, where she's helping shape the AI landscape through collaborations with global industry leaders, including work in life sciences and beyond. How do you build operational systems that drive efficiency without losing the human touch? What does "customer obsession" look like when your job is no longer customer-facing, but partnership-driven? And how can emotional intelligence turn mentorship into a ripple effect of real impact? JoJo shares the lessons behind her relationship-first leadership style, her approach to choosing the right partners, and how to leverage technology in ways that stay grounded in empathy, clarity, and outcomes.Sponsors and partners:Promeed: 100% mulberry silk pillowcases and bedding that feel incredibly soft, stay breathable, and are naturally gentle on hair and skin.SurviveX: professional-grade FSA/HSA eligible first aid and preparedness kits designed in Virginia, USA and produced in an FDA-registered facility.Alison US CA: Alison is the world's largest free online learning and skills-training platform, helping more than 50 million learners in 193+ countries build career-ready skills with 6,000+ free courses, certificates, and diplomas.eSign (iOS only): eSign is a clean, privacy-first document-signing app that works entirely on your device, letting you sign PDFs, DOCX files, images, and scans, edit and assemble pages, and export crisp 300 DPI PDFs in seconds, without accounts, cloud uploads, or compromising sensitive documents.Support the show

THIS IS THE 'SEVERED: ORIGINS' BREAKDOWN OF 'ETERNAL SUNSHINE' - PT05Welcome back for Part Five of this Ultimate breakdown of "Eternal Sunshine of the Spotless Mind." If you've come this far, there's not a lot I can say. It's time to delve into Joel's humiliations. This is the cringy stuff Charlie Kaufman really likes to write about. It might leave you feeling just a bit sick to your stomach...that's okay, it's the CK way.Mrs. Howard makes a visit! Mary starts to kiss Howard right in front of the big window that's all lit up all of a sudden in Joel's apartment. They start this at the exact same moment as Mrs. Mierzwiak comes rolling up in her Chevy Sedan. Hollis unloads on Howard plus she spills the beans about Mary. At least she causes Mary to ask some questions that Howard finds hard to answer. Deceiving Mary will prove to be a very bad idea. This ORIGINS entry is a trippy 2004 title from French Director Michel Gondry. Both Dan Erickson and Ben Stiller list it as an inspiration. It stars Kate Winslet and Jim Carrey. This is considered one of the best things Jim Carrey has ever done.Get ready for Part FIVE of this enormous movie breakdown.*******Huge thanks to Adam Scott, star of 'Severance' and host of the Severance Podcast for recording a custom intro for "Severed." Make sure to check out 'The Severance Podcast w/Ben Stiller & Adam Scott" wherever you found this one!A big 'thank you' to friend of the pod Kier Eagan, er I mean Marc Geller! Marc both sat for an interview (make sure to check it out) AND recorded some great bumpers as Kier himself. Follow Marc on Instagram @geller_marc.BIG Thanks to Friend of the Podcast Hayley Erickson-Goelzer. She is Sister to creator Dan Erickson and also a listener. It took getting approval from Dan's Press Person, but thanks to her follow-through we've got a custom bumper from Hayley Erickson-Goelzer!!Yes, that is really and truly Primary Director and Executive Producer Ben Stiller doing a custom bumper for 'Severed.' He actually did this bumper for the show while we were recording an interview for the Official Ben & Adam Podcast. Thank you, Ben for the Bumper and for bringing this incredible show to the screen!!Support the Severed Podcast on Patreon! (Click here)APPLE PODCAST LISTENERS: If you are enjoying "Severed: The Ultimate 'Severance' Podcast" please make sure to leave a 5-star rating (and, if you want, a review telling others to give it a try). Higher rated podcasts get better placement in suggestion lists. It helps more "Severance" fans find the show. Thanks!!! (Unfortunately, I can't respond to any questions or comments made in Apple Podcast Reviews. Send those to: SeveredPod@gmail.com)Season 2 of "Severance" kicked off 1/17/2025 and ran through 3/20/2025. The Second Season of the "Severed" Podcast Rewatch Episodes kicked off on April 24th, 2025. To support the Severed Podcast: (www.patreon.com/SeveredPod) Join the fun on our Facebook page @SeveredPod. I always try to keep page followers  updated on news about the show. Also, let's talk!! Comments? Theories? Corrections? I LOVE 'EM!! Send to: SeveredPod@gmail.comPLEASE MAKE SURE TO SHARE THE PODCAST WITH YOUR FRIENDS WHO ARE 'SEVERANCE' FANS. THE SHOW GROWS THROUGH WORD OF MOUTH!!Needing your own copies of the Lexington Letter and Orientation Booklet? I've got you covered with downloadable PDFs of both documents:LETTER: LEXINGTONLETTER-TheLetter.pdf HANDBOOK: LEXINGTONLETTER-MDROrientationHandbook.pdfYou haven't completely watched 'Severance' until you've listened to 'Severed'.

In "Is Your ERP a Data Graveyard: How to Unlock Millions with Nauta's Valentina Jordan", Joe Lynch and Valentina Jordan, Co-Founder and CEO of Nauta, discuss how structuring fragmented data turns supply chain silos into actionable revenue. About Valentina Jordan Valentina Jordan is the Co-Founder and CEO of Nauta, where she is re-engineering supply chains through clean AI data infrastructure. Previously, Valentina led product for Rappi's largest business segment, helping build and scale the core product stack behind Latin America's largest delivery platform, before bringing that same operational rigor to leadership roles at Amazon. At Nauta, Valentina brings a product-first, systems-level perspective to rethinking how supply chains operate, tackling the industry's most foundational challenge: building clean, structured data infrastructure that enables smarter decision-making. About Nauta Nauta is the AI-native operating system that connects your inventory, logistics, and procurement data into one intelligent layer. By acting as an intelligent membrane over existing ERP, TMS, and WMS systems, Nauta eliminates "data graveyards" by unifying fragmented data from emails, documents, and spreadsheets into a single source of truth. The platform moves beyond simple visibility, providing SKU-level insights and automated workflows that allow shippers to proactively manage exception handling and cash flow. Trusted by multinational leaders in the food, beverage, and retail sectors including distributors for brands like New Balance, Modelo, and L'Oreal, Nauta manages data for enterprises representing over $15B in annual sales. SOC 2 Type II certified, the platform empowers manufacturers and retailers to reduce container lifecycle times, prevent stockouts, and eliminate costly penalties like detention fees. Nauta's mission is to provide the standardized "rails of data infrastructure" necessary for truly autonomous and resilient global supply chains.  Key Takeaways: Is Your ERP a Data Graveyard: How to Unlock Millions In "Is Your ERP a Data Graveyard: How to Unlock Millions with Nauta's Valentina Jordan", Joe Lynch and Valentina Jordan, Co-Founder and CEO of Nauta, discuss how structuring fragmented data turns supply chain silos into actionable revenue. The "Data Fragmentation" Mess: Global shippers are stuck with data trapped in emails, PDFs, and clunky legacy systems. This chaos forces teams to waste 75% of their day babysitting spreadsheets instead of making moves that actually scale the business. One Single Source of Truth: Nauta fixes this as an AI-native engine that pulls those messy data streams into one place. From finance to procurement, everyone works off the same live data—killing "tribal knowledge" for good. The Real Cost of Stockouts: For brands like Modelo or L'Oreal, a stockout isn't just a missed sale; it's a hit to your reputation and a massive financial penalty. Nauta shifts you from reactive "firefighting" to proactive prevention. Saving Millions in Revenue: Using predictive analytics, Nauta's inventory engine flags risks weeks in advance. One customer even saved $1.2M in a single quarter by dodging retail penalties and lost sales. Killing "Dry Runs" and Fees: Shippers pay for empty trucks because they can't see what's happening at the port. Nauta's predictive tech and automated communication can slash detention costs by up to 80%. SKU-Level Control: Most platforms track the box; Nauta tracks the product. We map data down to the individual item, so you know exactly which vessel is carrying your high-priority promotional stock. Smarter Procurement: With SKU-level insights, your team can make surgical decisions—like rerouting high-demand items before they even dock—ensuring the right product hits the right shelf every time. Learn More About Is Your ERP a Data Graveyard: How to Unlock Millions Valentina Jordan | Linkedin Nauta | Linkedin Nauta The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

The reception to our recent post on Code Reviews has been strong. Catch up!Amid a maelstrom of discussion on whether or not AI is killing SaaS, one of the top publicly listed SaaS companies in the world has just reported record revenues, clearing well over $1.1B in ARR for the first time with a 28% margin. As we comment on the pod, Aaron Levie is the rare public company CEO equally at home in both worlds of Silicon Valley and Wall Street/Main Street, by day helping 70% of the Fortune 500 with their Enterprise Advanced Suite, and yet by night is often found in the basements of early startups and tweeting viral insights about the future of agents.Now that both Cursor, Cloudflare, Perplexity, Anthropic and more have made Filesystems and Sandboxes and various forms of “Just Give the Agent a Box” cool (not just cool; it is now one of the single hottest areas in AI infrastructure growing 100% MoM), we find it a delightfully appropriate time to do the episode with the OG CEO who has been giving humans and computers Boxes since he was a college dropout pitching VCs at a Michael Arrington house party.Enjoy our special pod, with fan favorite returning guest/guest cohost Jeff Huber!Note: We didn't directly discuss the AI vs SaaS debate - Aaron has done many, many, many other podcasts on that, and you should read his definitive essay on it. Most commentators do not understand SaaS businesses because they have never scaled one themselves, and deeply reflected on what the true value proposition of SaaS is.We also discuss Your Company is a Filesystem:We also shoutout CTO Ben Kus' and the AI team, who talked about the technical architecture and will return for AIE WF 2026.Full Video EpisodeTimestamps* 00:00 Adapting Work for Agents* 01:29 Why Every Agent Needs a Box* 04:38 Agent Governance and Identity* 11:28 Why Coding Agents Took Off First* 21:42 Context Engineering and Search Limits* 31:29 Inside Agent Evals* 33:23 Industries and Datasets* 35:22 Building the Agent Team* 38:50 Read Write Agent Workflows* 41:54 Docs Graphs and Founder Mode* 55:38 Token FOMO Culture* 56:31 Production Function Secrets* 01:01:08 Film Roots to Box* 01:03:38 AI Future of Movies* 01:06:47 Media DevRel and EngineeringTranscriptAdapting Work for AgentsAaron Levie: Like you don't write code, you talk to an agent and it goes and does it for you, and you may be at best review it. That's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work.We basically adapted to how the agent works. All of the economy has to go through that exact same evolution. Right now, it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this ‘cause you'll see compounding returns. But that's just gonna take a while for most companies to actually go and get this deployed.swyx: Welcome to the Lane Space Pod. We're back in the chroma studio with uh, chroma, CEO, Jeff Hoover. Welcome returning guest now guest host.Aaron Levie: It's a pleasure. Wow. How'd you get upgraded to, uh, to that?swyx: Because he's like the perfect guy to be guest those for you.Aaron Levie: That makes sense actually, for We love context. We, we both really love context le we really do.We really do.swyx: Uh, and we're here with, uh, Aaron Levy. Welcome.Aaron Levie: Thank you. Good to, uh, good to be [00:01:00] here.swyx: Uh, yeah. So we've all met offline and like chatted a little bit, but like, it's always nice to get these things in person and conversation. Yeah. You just started off with so much energy. You're, you're super excited about agents.I loveAaron Levie: agents.swyx: Yeah. Open claw. Just got by, got bought by OpenAI. No, not bought, but you know, you know what I mean?Aaron Levie: Some, some, you know, acquihire. Executiveswyx: hire.Aaron Levie: Executive hire. Okay. Executive hire. Say,swyx: hey, that's my term. Okay. Um, what are you pounding the table on on agents? You have so many insightful tweets.Why Every Agent Needs a BoxAaron Levie: Well, the thing that, that we get super excited by that I think is probably, you know, should be relatively obvious is we've, we've built a platform to help enterprises manage their files and their, their corporate files and the permissions of who has access to those files and the sharing collaboration of those files.All of those files contain really, really important information for the enterprise. It might have your contracts, it might have your research materials, it might have marketing information, it might have your memos. All that data obviously has, you know, predominantly been used by humans. [00:02:00] But there's been one really interesting problem, which is that, you know, humans only really work with their files during an active engagement with them, and they kind of go away and you don't really see them for a long time.And all of a sudden, uh, with the power of AI and AI agents, all of that data becomes extremely relevant as this ongoing source of, of answers to new questions of data that will transform into, into something else that, that produces value in your organization. It, it contains the answer to the new employee that's onboarding, that needs to ramp up on a project.Um, it contains the answer to the right thing to sell a customer when you're having a conversation to them, with them contains the roadmap information that's gonna produce the next feature. So all that data. That previously we've been just sort of storing and, and you know, occasionally forgetting about, ‘cause we're only working on the new active stuff.All of that information becomes valuable to the enterprise and it's gonna become extremely valuable to end users because now they can have agents go find what they're looking for and produce new, new [00:03:00] value and new data on that information. And it's gonna become incredibly valuable to agents because agents can roam around and do a bunch of work and they're gonna need access to that data as well.And um, and you know, sometimes that will be an agent that is sort of working on behalf of, of, of you and, and effectively as you as and, and they are kind of accessing all of the same information that you have access to and, and operating as you in the system. And then sometimes there's gonna be agents that are just.Effectively autonomous and kind of run on their own and, and you're gonna collaborate and work with them kind of like you did another person. Open Claw being the most recent and maybe first real sort of, you know, kind of, you know, up updating everybody's, you know, views of this landscape version of, of what that could look like, which is, okay, I have an agent.It's on its own system, it's on its own computer, it has access to its own tools. I probably don't give it access to my entire life. I probably communicate with it like I would an assistant or a colleague and then it, it sort of has this sandbox environment. So all of that has massive implications for a platform that manage that [00:04:00] enterprise data.We think it's gonna just transform how we work with all of the enterprise content that we work with, and we just have to make sure we're building the right platform to support that.swyx: The sort of shorthand I put it is as people build agents, everybody's just realizing that every agent needs a box. Yes.And it's nice to be called box and just give everyone a box.Aaron Levie: Hey, I if I, you know, if we can make that go viral, uh, like I, I think that that terminology, I, that's theswyx: tagline. Every agentAaron Levie: needs a box. Every agent needs a box. If we can make that the headline of this, I'm fine with this. And that's the billboard I wanna like Yeah, exactly.Every agent needs a box. Um, I like it. Can we ship this? Like,swyx: okay, let's do it. Yeah.Aaron Levie: Uh, my work here is done and I got the value I needed outta this podcast Drinks.swyx: Yeah.Agent Governance and IdentityAaron Levie: But, but, um, but, but, you know, so the thing that we, we kind of think about is, um, is, you know, whether you think the number 10 x or a hundred x or whatever the number is, we're gonna have some order of magnitude more agents than people.That's inevitable. It has to happen. So then the question is, what is the infrastructure that's needed to make all those agents effective in the enterprise? Make sure that they are well governed. Make sure they're only doing [00:05:00] safe things on your information. Make sure that they're not getting exposed. The data that they shouldn't have access to.There's gonna be just incredibly spectacularly crazy security incidents that will happen with agents because you'll prompt, inject an agent and sort of find your way through the CRM system and pull out data that you shouldn't have access to. Oh, weJeff Huber: have God,Aaron Levie: right? I mean, that's just gonna happen all over the place, right?So, so then the thing is, is how do you make sure you have the right security, the permissions, the access controls, the data governance. Um, we actually don't yet exactly know in many cases how we're gonna regulate some of these agents, right? If you think about an agent in financial services, does it have the exact same financial sort of, uh, requirements that a human did?Or is it, is the risk fully on the human that was interacting or created the agent? All open questions, but no matter what, there's gonna need to be a layer that manages the, the data they have access to, the workflows that they're involved in, pulling up data from multiple systems. This is the new infrastructure opportunity in the era of agents.swyx: You have a piece on agent identities, [00:06:00] which I think was today, um, which I think a lot of breaking news, the security, security people are talking about, right? Like you basically, I, I always think of this as like, well you need the human you and then there you need the agent. YouAaron Levie: Yes.swyx: And uh, well, I don't know if it's that simple, but is box going to have an opinion on that or you're just gonna be like, well we're just the sort of the, the source layer.Yeah. Let's Okta of zero handle that.Aaron Levie: I think we're gonna have an opinion and we will work with generally wherever the contours of the market end up. Um, and the reason that we're gonna have an opinion more than other topics probably is because one of the biggest use cases for why your agent might need it, an identity is for file system access.So thus we have to kind of think about this pretty deeply. And I think, uh, unless you're like in our world thinking about this particular problem all day long, it might be, you know, like, why is this such a big deal? And the reason why it's a really big deal is because sometimes sort of say, well just give the agent an, an account on the system and it just treats, treat it like every other type of user on the system.The [00:07:00] problem is, is that I as Aaron don't really have any responsibility over anybody else's box account in our organization. I can't see the box account of any other employee that I work with. I am not liable for anything that they do. And they have, I have, I have, you know, strict privacy requirements on everything that they're able to, you know, that, that, that they work on.Agents don't have that, you know, don't have those properties. The person who creates the agent probably is gonna, for the foreseeable future, take on a lot of the liability of what that agent does. That agent doesn't deserve any privacy because, because it's, you know, it can't fully be autonomously operated and it doesn't have any legal, you know, kind of, you know, responsibility.So thus you can't just be like, oh, well I'll just create a bunch of accounts and then I'll, I'll kind of work with that agent and I'll talk to it occasionally. Like you need oversight of that. And so then the question is, how do you have a world where the agent, sometimes you have oversight of, but what if that agent goes and works with other people?That person over there is collaborating with the agent on something you shouldn't have [00:08:00] access to what they're doing. So we have all of these new boundaries that we're gonna have to figure out of, of, you know, it's really, really easy. So far we've been in, in easy mode. We've hit the easy button with ai, which is the agent just is you.And when you're in quad code and you're in cursor, and you're in Codex, you're just, the agent is you. You're offing into your services. It can do everything you can do. That's the easy mode. The hard mode is agents are kind of running on their own. People check in with them occasionally, they're doing things autonomously.How do you give them access to resources in the enterprise and not dramatically increased the security risk and the risk that you might expose the wrong thing to somebody. These are all the new problems that we have to get solved. I like the identity layer and, and identity vendors as being a solution to that, but we'll, we'll need some opinions as well because so many of the use cases are these collaborative file system use cases, which is how do I give it an agent, a subset of my data?Give it its own workspace as well. ‘cause it's gonna need to store off its own information that would be relevant for it. And how do I have the right oversight into that? [00:09:00]Jeff Huber: One thing, which, um, I think is kind interesting, think about is that you know, how humans work, right? Like I may not also just like give you access to the whole file.I might like sit next to you and like scroll to this like one part of the file and just show you that like one part and like, you know,swyx: partial file access.Jeff Huber: I'm just saying I think like our, like RA does seem to be dead, right? Like you wanna say something is dead uhhuh probably RA is dead. And uh, like the auth story to me seems like incredibly unsolved and unaddressed by like the existing state of like AI vendors.ButAaron Levie: yeah, I think, um, we're, I mean you're taking obviously really to level limit that we probably need to solve for. Yeah. And we built an access control system that was, was kind of like, you know, its own little world for, for a long time. And um, and the idea was this, it's a many to many collaboration system where I can give you any part of the file system.And it's a waterfall model. So if I give you higher up in the, in the, in the system, you get everything below. And that, that kind of created immense flexibility because I can kind of point you to any layer in the, in the tree, but then you're gonna get access to everything kind of below it. And that [00:10:00] mostly is, is working in this, in this world.But you do have to manage this issue, which is how do I create an agent that has access to some of my stuff and somebody else's stuff as well. Mm-hmm. And which parts do I get to look at as the creator of the agent? And, and these are just brand new problems? Yeah. Crazy. And humans, when there was a human there that was really easy to do.Like, like if the three of us were all sharing, there'd be a Venn diagram where we'd have an overlapping set of things we've shared, but then we'd have our own ways that we shared with each other. In an agent world, somebody needs to take responsibility for what that agent has access to and what they're working on.These are like the, some of the most probably, you know, boring problems for 98% of people on, on the internet, but they will be the problems that are the difference between can you actually have autonomous agents in an enterprise contextswyx: Yeah.Aaron Levie: That are not leaking your data constantly.swyx: No. Like, I mean, you know, I run a very, very small company for my conference and like we already have data sensitivity issues.Yes. And some of my team members cannot see Yes. Uh, the others and like, I can't imagine what it's like to run a Fortune 500 and like, you have to [00:11:00] worry about this. I'm just kinda curious, like you, you talked to a lot like, like 70, 80% of your cus uh, of the Fortune 500, your customers.Aaron Levie: Yep. 67%. Just so we're being verySEswyx: precise.So Yeah. I'm notAaron Levie: Okay. Okay.swyx: Something I'm rounding up. Yes. Round up. I'm projecting to, forAaron Levie: the government.swyx: I'm projecting to the end of the year.Aaron Levie: Okay.swyx: There you go.Aaron Levie: You do make it sound like, like we, we, well we've gotta be on this. Like we're, we're taking way too long to get to 80%. Well,swyx: no, I mean, so like. How are they approaching it?Right? Because you're, you don't have a, you don't have a final answer yet.Why Coding Agents Took Off FirstAaron Levie: Well, okay, so, so this is actually, this is the stark reality that like, unfortunately is the kinda like pouring the water on the party a little bit.swyx: Yes.Aaron Levie: We all in Silicon Valley are like, have the absolute best conditions possible for AI ever.And I think we all saw the dke, you know, kind of Dario podcast and this idea of AI coding. Why is that taken off? And, and we're not yet fully seeing it everywhere else. Well, look, if you just like enumerated the list of properties that AI coding has and then compared it to other [00:12:00] knowledge work, let's just, let's just go through a few of them.Generally speaking, you bring on a new engineer, they have access to a large swath of the code base. Like, there's like very, like you, just, like new engineer comes on, they can just go and find the, the, the stuff that they, they need to work with. It's a fully text in text out. Medium. It's only, it's just gonna be text at the end of the day.So it's like really great from a, from just a, uh, you know, kinda what the agent can work with. Obviously the models are super trained on that dataset. The labs themselves have a really strong, kind of self-reinforcing positive flywheel of why they need to do, you know, agent coding deeply. So then you get just better tooling, better services.The actual developers of the AI are daily users of the, of the thing that they're we're working on versus like the, you know, probably there's only like seven Claude Cowork legal plugin users at Anthropic any given day, but there's like a couple thousand Claude code and you know, users every single day.So just like, think about which one are they getting more feedback on. All day long. So you just go through this list. You have a, you know, everybody who's a [00:13:00] developer by definition is technical so they can go install the latest thing. We're all generally online, or at least, you know, kinda the weird ones are, and we're all talking to each other, sharing best practices, like that's like already eight differences.Versus the rest of the economy. Every other part of the economy has like, like six to seven headwinds relative to that list. You go into a company, you're a banker in financial services, you have access to like a, a tiny little subset of the total data that's gonna be relevant to do your job. And you're have to start to go and talk to a bunch of people to get the right data to do your job because Sally didn't add you to that deal room, you know, folder.And that that, you know, the information is actually in a completely different organization that you now have to go in and, and sort of run into. And it's like you have this endless list of access controls and security. As, as you talked about, you have a medium, which is not, it's not just text, right? You have, you have a zoom call that, that you're getting all of the requirements from the customer.You have a lot of in-person conversations and you're doing in-person sales and like how do you ever [00:14:00] digitize all of that information? Um, you know, I think a lot of people got upset with this idea that the code base has all the context, um, that I don't know if you follow, you know, did you follow some of that conversation that that went viral?Is like, you know, it's not that simple that, that the code base doesn't have all the knowledge, but like it's a lot, you're a lot better off than you are with other areas of knowledge work. Like you, we like, we like have documentation practices, you write specifications. Those things don't exist for like 80% of work that happens in the enterprise.That's the divide that we have, which is, which is AI coding has, has just fully, you know, where we've reached escape velocity of how powerful this stuff is, and then we're gonna have to find a way to bring that same energy and momentum, but to all these other areas of knowledge work. Where the tools aren't there, the data's not set up to be there.The access controls don't make it that easy. The context engineering is an incredibly hard problem because again, you have access control challenges, you have different data formats. You have end users that are gonna need to kind of be kind of trained through this as opposed to their adopting [00:15:00] these tools in their free time.That's where the Fortune 500 is. And so we, I think, you know, have to be prepared as an industry where we are gonna be on a multi-year march to, to be able to bring agents to the enterprise for these workflows. And I think probably the, the thing that we've learned most in coding that, that the rest of the world is not yet, I think ready for, I mean, we're, they'll, they'll have to be ready for it because it's just gonna inevitably happen is I think in coding.What, what's interesting is if you think about the practice of coding today versus two years ago. It's probably the most changed workflow in maybe the history of time from the amount of time it's changed, right? Yeah. Like, like has any, has any workflow in the entire economy changed that quickly in terms of the amount of change?I just, you know, at least in any knowledge worker workflow, there's like very rarely been an event where one piece of technology and work practice has so fundamentally, you know, changed, changed what you do. Like you don't write code, you talk to an agent and it goes and [00:16:00] does it for you, and you may be at best review it.And even that's even probably like, like largely not even what you're doing. What's happening is we are changing our work to make the agents effective. In that model, the agent didn't really adapt to how we work. We basically adapted to how the agent works. Mm-hmm. All of the economy has to go through that exact same evolution.The rest of the economy is gonna have to update its workflows to make agents effective. And to give agents the context that they need and to actually figure out what kind of prompting works and to figure out how do you ensure that the agent has the right access to information to be able to execute on its work.I, you know, this is not the panacea that people were hoping for, of the agent drops in, just automates your life. Like you have to basically re-engineer your workflow to get the most out of agents and, uh, and that, that's just gonna take, you know, multiple years across the economy. Right now it's a huge asset and an advantage for the teams that do it early and that are kinda wired into doing this.‘cause [00:17:00] you'll see compounding returns, but that's just gonna take a while for most companies to actually go and get this deployed.swyx: I love, I love pushing back. I think that. That is what a lot of technology consultants love to hear this sort of thing, right? Yeah, yeah, yeah. First to, to embrace the ai. Yes. To get to the promised land, you must pay me so much money to a hundred percent to adopt the prescribed way of, uh, conforming to the agents.Yes. And I worry that you will be eclipsed by someone else who says, no, come as you are.Aaron Levie: Yeah.swyx: And we'll meet you where you are.Aaron Levie: And, and, and and what was the thing that went viral a week ago? OpenAI probably, uh, is hiring F Dees. Yeah. Uh, to go into the enterprise. Yeah. Yeah. And then philanthropic is embedded at Goldman Sachs.Yeah. So if the labs are having to do this, if, if the labs have decided that they need to hire FDE and professional services, then I think that's a pretty clear indication that this, there's no easy mode of workflow transformation. Yeah. Yeah. So, so to your point, I think actually this is a market opportunity for, you know, new professional services and consulting [00:18:00] firms that are like Agent Build and they, and they kind of, you know, go into organizations and they figure out how to re-engineer your workflows to make them more agent ready and get your data into the right format and, you know, reconstruct your business process.So you're, you're not doing most of the work. You're telling agents how to do the work and then you're reviewing it. But I haven't seen the thing that can just drop in and, and kinda let you not go through those changes.swyx: I don't know how that kind of sales pitch goes over. Yeah. You know, you're, you're saying things like, well, in my sort of nice beautiful walled garden, here's, there's, uh, because here's this, here's this beautiful box account that has everything.Yes. And I'm like, well, most, most real life is extremely messy. Sure. And like, poorly named and there duplicate this outdated s**tAaron Levie: a hundred percent. And so No, no, a hundred percent. And so this is actually No. So, so this is, I mean, we agree that, that getting to the beautiful garden is gonna be tough.swyx: Yeah.Aaron Levie: There's also the other end of the spectrum where I, I just like, it's a technical impossibility to solve. The agent is, is truly cannot get enough context to make the right decision in, in the, in the incredibly messy land. Like there's [00:19:00] no a GI that will solve that. So, so we're gonna have to kind of land in somewhere in between, which is like we all collectively get better at.Documentation practices and, and having authoritative relatively up-to-date information and putting it in the right place like agents will, will certainly cause us to be much better organized around how we work with our information, simply because the severity of the agent pulling the wrong data will be too high and the productivity gain of that you'll miss out on by not doing this will be too high as well, that you, that your competition will just do it and they'll just have higher velocity.So, uh, and, and we, we see this a lot firsthand. So we, we build a series of agents internally that they can kind of have access to your full box account and go off and you give it a task and it can go find whatever information you're looking for and work with. And, you know, thank God for the model progress, but like, if, if you gave that task to an agent.Nine months ago, you're just gonna get lots of bogus answers because it's gonna, it's gonna say, Hey, here's, here are fi [00:20:00] five, you know, documents that all kind of smell like the right thing. And I'm gonna, but I, but you're, you're putting me on the clock. ‘cause my assistant prompt says like, you know, be pretty smart, but also try and respond to the user and it's gonna respond.And it's like, ah, it got the wrong document. And then you do that once or twice as a knowledge worker and you're just neverswyx: again,Aaron Levie: never again. You're just like done with the system.swyx: Yeah. It doesn't work.Aaron Levie: It doesn't work. And so, you know, Opus four six and Gemini three one Pro and you know, whatever the latest five 3G BT will be, like, those things are getting better and better and it's using better judgment.And this sort of like the, all of these updates to the agentic tool and search systems are, are, we're seeing, we're seeing very real progress where the agent. Kind of can, can almost smell some things a little bit fishy when it's getting, you know, we, we have this process where we, we have it go fan out, do a bunch of searches, pull up a bunch of data, and then it has to sort of do its own ranking of, you know, what are the right documents that, that it should be working with.And again, like, you know, the intelligence level of a model six months ago, [00:21:00] it'd be just throwing a dart at like, I'm just, I'm gonna grab these seven files and I, I pray, I hope that that's the right answer. And something like an opus first four five, and now four six is like, oh, it's like, no, that one doesn't seem right relative to this question because I'm seeing some signal that is making that, you know, that's contradicting the document where it would normally be in the tree and who should have access.Like it's doing all of that kind of work for you. But like, it still doesn't work if you just have a total wasteland of data. Like, it's just not, it's just not possible. Partly ‘cause a human wouldn't even be able to do it. So basically if a, if a really, really smart human. Could not do that task in five or 10 minutes for a search retrieval type task.Look, you know, your agent's not gonna be able to do it any better. You see this all day long. SoContext Engineering and Search Limitsswyx: this touches on a thing that just passionate about it was just context engineering. I, I'm just gonna let you ramble or riff on, on context engineering. If, if, if there's anything like he, he did really good work on context fraud, which has really taken over as like the term that people use and the referenceAaron Levie: a hundred percent.We, we all we think about is, is the context rob problem. [00:22:00]Jeff Huber: Yeah, there's certainly a lot of like ranking considerations. Gentech surgery think is incredibly promising. Um, yeah, I was trying to generate a question though. I think I have a question right now. Swyx.Aaron Levie: Yeah, no, but like, like I think there was this moment, um, you know, like, I don't know, two years ago before, before we knew like where the, the gotchas were gonna be in ai and I think someone was like, was like, well, infinite context windows will just solve all of these problems and ‘cause you'll just, you'll just give the context window like all the data and.It's just like, okay, I mean, maybe in 2035, like this is a viable solution. First of all, it, it would just, it would just simply cost too much. Like we just can't give the model like the 5,000 documents that might be relevant and it's gonna read them all. And I've seen enough to, to start believing in crazy stuff.So like, I'm willing to just say, sure. Like in, in 10 years from now,swyx: never say, never, never.Aaron Levie: In, in 10 years from now, we'll have infinite context windows at, at a thousandth of the price of today. Like, let's just like believe that that's possible, but Right. We're in reality today. So today we have a context engineering [00:23:00] problem, which is, I got, I got, you know, 200,000 tokens that I can work with, or prob, I don't even know what the latest graph is before, like massive degradation.16. Okay. I have 60,000 tokens that I get to work with where I'm gonna get accurate information. That's not a lot of tokens for a corpus of 10 million documents that a knowledge worker might have across all of the teams and all the projects and all the people they work with. I have, I have 10 million documents.Which, you know, maybe is times five pages per document or something like that. I'm at 50 million pages of information and I have 60,000 tokens. Like, holy s**t. Yeah. This is like, how do I bridge the 50 million pages of information with, you know, the couple hundred that I get to work with in that, in that token window.Yeah. This is like, this is like such an interesting problem and that's why actually so much work is actually like, just like search systems and the databases and that layer has to just get so locked in, but models getting better and importantly [00:24:00] knowing when they've done a search, they found the wrong thing, they go back, they check their work, they, they find a way to balance sort of appeasing the user versus double checking.We have this one, we have this one test case where we ask the agent to go find. 10 pieces of information.swyx: Is this the complex work eval?Aaron Levie: Uh, this is actually not in the eval. This is, this is sort of just like we have a bunch of different, we have a bunch of internal benchmark kind of scenarios. Every time we, we update our agent, we have one, which is, I ask it to find all of our office addresses, and I give it the list of 10 offices that we have.And there's not one document that has this, maybe there should be, that would be a great example of the kind of thing that like maybe over time companies start to, you know, have these sort of like, what are the canonical, you know, kind of key areas of knowledge that we need to have. We don't seem to have this one document that says, here are all of our offices.We have a bunch of documents that have like, here's the New York office and whatever. So you task this agent and you, you get, you say, I need the addresses for these 10 offices. Okay. And by the way, if you do this on any, you know, [00:25:00] public chat model, the same outcome is gonna happen. But for a different kind of query, you give it, you say, I need these 10 addresses.How many times should the agent go and do its search before it decides whether or not, there's just no answer to this question. Often, and especially the, the, let's say lower tier models, it'll come back and it'll give you six of the 10 addresses. And it'll, and I'll just say I couldn't find the otherswyx: four.It, it doesn't know what It doesn't know. ItAaron Levie: doesn't know what It doesn't know. Yeah. So the model is just like, like when should it stop? When should it stop doing? Like should it, should it do that task for literally an hour and just keep cranking through? Maybe I actually made up an office location and it doesn't know that I made it up and I didn't even know that I made it up.Like, should it just keep, re should it read every single file in your entire box account until it, until it should exhaust every single piece of information.swyx: Expensive.Aaron Levie: These are the new problems that we have. So, you know, something like, let's say a new opus model is sort of like, okay, I'm gonna try these types of queries.I didn't get exactly what I wanted. I'm gonna try again. I'm gonna, at [00:26:00] some point I'm gonna stop searching. ‘cause I've determined that that no amount of searching is gonna solve this problem. I'm just not able to do it. And that judgment is like a really new thing that the model needs to be able to have.It's like, when should it give up on a task? ‘cause, ‘cause you just don't, it's a can't find the thing. That's the real world of knowledge, work problems. And this is the stuff that the coding agents don't have to deal with. Because they, it just doesn't like, like you're not usually asking it about, you're, you're always creating net new information coming right outta the model for the most part.Obviously it has to know about your code base and your specs and your documentation, but, but when you deploy an agent on all of your data that now you have all of these new problems that you're dealing withJeff Huber: our, uh, follow follow-up research to context ride is actually on a genetic search. Ah. Um, and we've like right, sort of stress tested like frontier models and their ability to search.Um, and they're not actually that good at searching. Right. Uh, so you're sort of highlighting this like explore, exploit.swyx: You're just say, Debbie, Donna say everything doesn't work. Like,Aaron Levie: well,Jeff Huber: somebody has to be,Aaron Levie: um, can I just throw out one more thing? Yeah. That is different from coding and, and the rest [00:27:00] of the knowledge work that I, I failed to mention.So one other kind of key point is, is that, you know, at the end of the day. Whether you believe we're in a slop apocalypse or, or whatever. At the end of the day, if you, if you build a working product at the end of, if you, if you've built a working solution that is ultimately what the customer is paying for, like whether I have a lot of slop, a little slop or whatever, I'm sure there's lots of code bases we could go into in enterprise software companies where it's like just crazy slop that humans did over a 20 year period, but the end customer just gets this little interface.They can, they can type into it, it does its thing. Knowledge work, uh, doesn't have that property. If I have an AI model, go generate a contract and I generate a contract 20 times and, you know, all 20 times it's just 3% different and like that I, that, that kind of lop introduces all new kinds of risk for my organization that the code version of that LOP didn't, didn't introduce.These are, and so like, so how do you constrain these models to just the part that you want [00:28:00] them to work on and just do the thing that you want them to do? And, and, you know, in engineering, we don't, you can't be disbarred as an engineer, but you could be disbarred as a lawyer. Like you can do the wrong medical thing In healthcare, you, there's no, there's no equivalent to that of engineering.Like, doswyx: you want there to be, because I've considered softwareJeff Huber: engineer. What's that? Civil engineering there is, right? NotAaron Levie: software civil engineer. Sure. Oh yeah, for sure. But like in any of our companies, you like, you know, you'll be forgiven if you took down the site and, and we, we will do a rollback and you'll, you'll be in a meeting, but you have not been disbarred as an engineer.We don't, we don't change your, you know, your computer science, uh, blameJeff Huber: degree, this postmortem.Aaron Levie: Yeah, exactly. Exactly. So, so, uh, now maybe we collectively as an industry need to figure out like, what are you liable for? Not legally, but like in a, in a management sense, uh, of these agents. All sorts of interesting problems that, that, that, uh, that have to come out.But in knowledge work, that's the real hostile environments that we're operating in. Hmm.swyx: I do think like, uh, a lot of the last year's, 2025 story was the rise of coding agents and I think [00:29:00] 2026 story is definitely knowledge work agents. Yes. A hundredAaron Levie: percent.swyx: Right. Like that would, and I think open claw core work are just the beginning.Yes. Like it's, the next one's gonna just gonna be absolute craziness.Aaron Levie: It it is. And, and, uh, and it's gonna be, I mean, again, like this is gonna be this, this wave where we, we are gonna try and bring as many of the practices from coding because that, that will clearly be the forefront, which is tell an agent to go do something and has an access to a set of resources.You need to be responsible for reviewing it at the end of the process. That to me is the, is the kind of template that I just think goes across knowledge, work and odd. Cowork is a great example. Open Closet's a great example. You can kind of, sort of see what Codex could become over time. These are some, some really interesting kind of platforms that are emerging.swyx: Okay. Um, I wanted to, we touched on evals a little bit. You had, you had the report that you're gonna go bring up and then I was gonna go into like, uh, boxes, evals, but uh, go ahead. Talk about your genetic search thing.Jeff Huber: Yeah. Mostly I think kinda a few of the insights. It's like number one frontier model is not good at search.Humans have this [00:30:00] natural explore, exploit trade off where we kinda understand like when to stop doing something. Also, humans are pretty good at like forgetting actually, and like pruning their own context, whereas agents are not, and actually an agent in their kind of context history, if they knew something was bad and they even, you could see in the trace the reason you trace, Hey, that probably wasn't a good idea.If it's still in the trace, still in the context, they'll still do it again. Uhhuh. Uh, and so like, I think pruning is also gonna be like, really, it's already becoming a thing, right? But like, letting self prune the con windowsswyx: be a big deal. Yeah. So, so don't leave the mistake. Don't leave the mistake in there.Cut out the mistake but tell it that you made a mistake in the past and so it doesn't repeat it.Jeff Huber: Yeah. But like cut it out so it doesn't get like distracted by it again. ‘cause really, you know, what is so, so it will repeat its mistake just because it's been, it's inswyx: theJeff Huber: context. It'sAaron Levie: in the context so much.That's a few shot example. Even if it, yeah.Jeff Huber: It's like oh thisAaron Levie: is a great thing to go try even ifJeff Huber: it didn't work.Aaron Levie: Yeah,Jeff Huber: exactly.Aaron Levie: SoJeff Huber: there's like a bunch of stuff there. JustAaron Levie: Groundhogs Day inside these models. Yeah. I'm gonna go keep doing the same wrongJeff Huber: thing. Covering sense. I feel like, you know, some creator analogy you're trying like fit a manifold in latent space, which kind is doing break program synthesis, which is kinda one we think about we're doing right.Like, you know, certain [00:31:00] facts might be like sort of overly pitting it. There are certain, you know, sec sectors of latent space and so like plug clean space. Yeah. And, uh, andswyx: so we have a bell, our editor as a bell every time you say that. SoJeff Huber: you have, you have to like remove those, likeswyx: you shoulda a gong like TPN or something.IfJeff Huber: we gong, you either remove those links to like kinda give it the freedom, kind of do what you need to do. So, but yeah. We'll, we'll release more soon. That'sAaron Levie: awesome.Jeff Huber: That'll, that'll be cool.swyx: We're a cerebral podcast that people listen to us and, and sort of think really deep. So yeah, we try to keep it subtle.Okay. We try to keep it.Aaron Levie: Okay, fine.Inside Agent Evalsswyx: Um, you, you guys do, you guys do have EVs, you talked about your, your office thing, but, uh, you've been also promoting APEX agents and complex work. Uh, yeah, whatever you, wherever you wanna take this just Yeah. How youAaron Levie: Apex is, is obviously me, core's, uh, uh, kind of, um, agent eval.We, we supported that by sort of. Opening up some data for them around how we kind of see these, um, data workspaces in, in the, you know, kind of regular economy. So how do lawyers have a workspace? How do investment bankers have a workspace? What kind of data goes into those? And so we, [00:32:00] we partner with them on their, their apex eval.Our own, um, eval is, it's actually relatively straightforward. We have a, a set of, of documents in a, in a range of industries. We give the agent previously did this as a one shot test of just purely the model. And then we just realized we, we need to, based on where everything's going, it's just gotta be more agentic.So now it's a bit more of a test of both our harness and the model. And we have a rubric of a set of things that has to get right and we score it. Um, and you're just seeing, you know, these incredible jumps in almost every single model in its own family of, you know, opus four, um, you know, sonnet four six versus sonnet four five.swyx: Yeah. We have this up on screen.Aaron Levie: Okay, cool. So some, you're seeing it somewhere like. I, I forget the to, it was like 15 point jump, I think on the main, on the overall,swyx: yes.Aaron Levie: And it's just like, you know, these incredible leaps that, that are starting to happen. Um,swyx: and OP doesn't know any, like any, it's completely held out from op.Aaron Levie: This is not in any, there's no public data which has, you know, Ben benefits and this is just a private eval that we [00:33:00] do, and then we just happen to show it to, to the world. Hmm. So you can't, you can't train against it. And I think it's just as representative of. It's obviously reasoning capabilities, what it's doing at, at, you know, kind of test time, compute capabilities, thinking levels, all like the context rot issues.So many interesting, you know, kind of, uh, uh, capabilities that are, that are now improvingswyx: one sector that you have. That's interesting.Industries and Datasetsswyx: Uh, people are roughly familiar with healthcare and legal, but you have public sector in there.Aaron Levie: Yeah.swyx: Uh, what's that? Like, what, what, what is that?Aaron Levie: Yeah, and, and we actually test against, I dunno, maybe 10 industries.We, we end up usually just cutting a few that we think have interesting gains. All extras, won a lot of like government type documents. Um,swyx: what is that? What is it? Government type documents?Aaron Levie: Government filings. Like a taxswyx: return, likeAaron Levie: a probably not tax returns. It would be more of what would go the government be using, uh, as data.So, okay. Um, so think about research that, that type of, of, of data sets. And then we have financial services for things like data rooms and what would be in an investment prospectus. Uhhuh,swyx: that one you can dog food.Aaron Levie: Yeah, exactly. Exactly. Yes. Yes. [00:34:00] So, uh, so we, we run the models, um, in now, you know, more of an agent mode, but, but still with, with kinda limited capacity and just try and see like on a, like, for like basis, what are the improvements?And, and again, we just continue to be blown away by. How, how good these models are getting.swyx: Yeah, I mean, I think every serious AI company needs something like that where like, well, this is the work we do. Here's our company eval. Yeah. And if you don't have it, well, you're not a serious AI company.Aaron Levie: There's two dimensions, right?So there's, there's like, how are the models improving? And so which models should you either recommend a customer use, which one should you adopt? But then every single day, we're making changes to our agents. And you need to knowswyx: if you regressed,Aaron Levie: if you know. Yeah. You know, I've been fully convinced that the whole agent observability and eval space is gonna be a massive space.Um, super excited for what Braintrust is doing, excited for, you know, Lang Smith, all the things. And I think what you're going to, I mean, this is like every enter like literally every enterprise right now. It's like the AI companies are the customers of these tools. Every enterprise will have this. Yeah, you'll just [00:35:00] have to have an eval.Of all of your work and like, we'll, you'll have an eval of your RFP generation, you'll have an eval of your sales material creation. You'll have an eval of your, uh, invoice processing. And, and as you, you know, buy or use new agentic systems, you are gonna need to know like, what's the quality of your, of your pipeline.swyx: Yeah.Aaron Levie: Um, so huge, huge market with agent evals.swyx: Yeah.Building the Agent Teamswyx: And, and you know, I'm gonna shout out your, your team a bit, uh, your CTO, Ben, uh, did a great talk with us last year. Awesome. And he's gonna come back again. Oh, cool. For World's Fair.Aaron Levie: Yep.swyx: Just talk about your team, like brag a little bit. I think I, I think people take these eval numbers in pretty charts for granted, but No, there, I mean, there's, there's lots of really smart people at work during all this.Aaron Levie: Biggest shout out, uh, is we have a, we have a couple folks at Dya, uh, Sidarth, uh, that, that kind of run this. They're like a, you know, kind of tag tag team duo on our evals, Ben, our CTO, heavily involved Yasha, head of ai, uh, you know, a bunch of folks. And, um, evals is one part of the story. And then just like the full, you know, kind of AI.An agent team [00:36:00] is, uh, is a, is a pretty, you know, is core to this whole effort. So there's probably, I don't know, like maybe a few dozen people that are like the epicenter. And then you just have like layers and layers of, of kind of concentric circles of okay, then there's a search team that supports them and an infrastructure team that supports them.And it's starting to ripple through the entire company. But there's that kind of core agent team, um, that's a pretty, pretty close, uh, close knit group.swyx: The search team is separate from the infra team.Aaron Levie: I mean, we have like every, every layer of the stack we have to kind of do, except for just pure public cloud.Um, but um, you know, we, we store, I don't even know what our public numbers are in, you know, but like, you can just think about it as like a lot of data is, is stored in box. And so we have, and you have every layer of the, of the stack of, you know, how do you manage the data, the file system, the metadata system, the search system, just all of those components.And then they all are having to understand that now you've got this new customer. Which is the agent, and they've been building for two types of customers in the past. They've been building for users and they've been building for like applications. [00:37:00] And now you've got this new agent user, and it comes in with a difference of it, of property sometimes, like, hey, maybe sometimes we should do embeddings, an embedding based, you know, kind of search versus, you know, your, your typical semantic search.Like, it's just like you have to build the, the capabilities to support all of this. And we're testing stuff, throwing things away, something doesn't work and, and not relevant. It's like just, you know, total chaos. But all of those teams are supporting the agent team that is kind of coming up with its requirements of what, what do we need?swyx: Yeah. No, uh, we just came from, uh, fireside chat where you did, and you, you talked about how you're doing this. It's, it's kind of like an internal startup. Yeah. Within the broader company. The broader company's like 3000 people. Yeah. But you know, there's, there's a, this is a core team of like, well, here's the innovation center.Aaron Levie: Yeah.swyx: And like that every company kind of is run this way.Aaron Levie: Yeah. I wanna be sensitive. I don't call it the innovation center. Yeah. Only because I think everybody has to do innovation. Um, there, there's a part of the, the, the company that is, is sort of do or die for the agent wave.swyx: Yeah.Aaron Levie: And it only happens to be more of my focus simply because it's existential that [00:38:00] we get it right.swyx: Yeah.Aaron Levie: All of the supporting systems are necessary. All of the surrounding adjacent capabilities are necessary. Like the only reason we get to be a platform where you'd run an agent is because we have a security feature or a compliance feature, or a governance feature that, that some team is working on.But that's not gonna be the make or break of, of whether we get agents right. Like that already exists and we need to keep innovating there. I don't know what the right, exact precise number is, but it's not a thousand people and it's not 10 people. There's a number of people that are like the, the kind of like, you know, startup within the company that are the make or break on everything related to AI agents, you know, leveraging our platform and letting you work with your data.And that's where I spend a lot of my time, and Ben and Yosh and Diego and Teri, you know, these are just, you know, people that, that, you know, kind of across the team. Are working.swyx: Yeah. Amazing.Read Write Agent WorkflowsJeff Huber: How do you, how do you think about, I mean, you talked a lot about like kinda read workflows over your box data. Yep.Right. You know, gen search questions, queries, et cetera. But like, what about like, write or like authoring workflows?Aaron Levie: Yes. I've [00:39:00] already probably revealed too much actually now that I think about it. So, um, I've talked about whatever,Jeff Huber: whatever you can.Aaron Levie: Okay. It's just us. It's just us. Yeah. Okay. Of course, of course.So I, I guess I would just, uh, I'll make it a little bit conceptual, uh, because again, I've already, I've already said things that are not even ga but, but we've, we've kinda like danced around it publicly, so I, yeah, yeah. Okay. Just like, hopefully nobody watches this, um, episode. No.swyx: It's tidbits for the Heidi engaged to go figure out like what exactly, um, you know, is, is your sort of line of thinking.Sure. They can connect the dots.Aaron Levie: Yeah. So, so I would say that, that, uh, we, you know, as a, as a place where you have your enterprise content, there's a use case where I want to, you know, have an agent read that data and answer questions for me. And then there's a use case where I want the agent to create something.And use the file system to create something or store off data that it's working on, or be able to have, you know, various files that it's writing to about the work it's doing. So we do see it as a total read write. The harder problem has so far been the read only because, because again, you have that kind of like 10 [00:40:00] million to one ratio problem, whereas rights are a lot of, that's just gonna come from the model and, and we just like, we'll just put it in the file system and kinda use it.So it's a little bit of a technically easier problem, but the only part that's like, not necessarily technically hard, it is just like it's not yet perfected in the state of the ecosystem is, you know, building a beautiful PowerPoint presentation. It's still a hard problem for these models. Like, like we still, you know, like, like these formats are just, we're not built for.They'reswyx: working on it.Aaron Levie: They're, they're working on it. Everybody's working on it.swyx: Every launch is like, well, we do PowerPoint now.Aaron Levie: We're getting, yeah, getting a lot, getting a lot of better each time. But then you'll do this thing where you'll ask the update one slide and all of a sudden, like the fonts will be just like a little bit different, you know, on two of the slides, or it moved, you know, some shape over to the left a little bit.And again, these are the kind of things that, like in code, obviously you could really care about if you really care about, you know, how beautiful is the code, but at the end, user doesn't notice all those problems and file creation, the end user instantly sees it. You're [00:41:00] like, ah, like paragraph three, like, you literally just changed the font on me.Like it's a totally different font and like midway through the document. Mm-hmm. Those are the kind of things that you run into a lot of in the, in the content creation side. So, mm-hmm. We are gonna have native agents. That do all of those things, they'll be powered by the leading kind of models and labs.But the thing that I think is, is probably gonna be a much bigger idea over time is any agent on any system, again, using Box as a file system for its work, and in that kind of scenario, we don't necessarily care what it's putting in the file system. It could put its memory files, it could put its, you know, specification, you know, documents.It could put, you know, whatever its markdown files are, or it could, you know, generate PDFs. It's just like, it's a workspace that is, is sort of sandboxed off for its work. People can collaborate into it, it can share with other people. And, and so we, we were thinking a lot about what's the right, you know, kind of way to, to deliver that at scale.Docs Graphs and Founder Modeswyx: I wanted to come into sort of the sort of AI transformation or AI sort of, uh, operations things. [00:42:00] Um, one of the tweets that you, that you wanted to talk about, this is just me going through your tweets, by the way. Oh, okay. I mean, like, this is, you readAaron Levie: one by one,swyx: you're the, you're the easiest guest to prep for because you, you already have like, this is the, this is what I'm interested in.I'm like, okay, well, areAaron Levie: we gonna get to like, like February, January or something? Where are we in the, in the timelines? How far back are we going?swyx: Can you, can you describe boxes? A set of skills? Right? Like that, that's like, that's like one of the extremes of like, well if you, you just turn everything into a markdown file.Yeah. Then your agent can run your company. Uh, like you just have to write, find the right sequence of words toAaron Levie: Yes.swyx: To do it.Aaron Levie: Sorry, isthatswyx: the question? So I think the question is like, what if we documented everything? Yes. The way that you exactly said like,Aaron Levie: yes.swyx: Um, let's get all the Fortune five hundreds, uh, prepared for agents.Yes. And like, you know, everything's in golden and, and nicely filed away and everything. Yes. What's missing? Like, what's left, right? LikeAaron Levie: Yeah.swyx: You've, you've run your company for a decade. LikeAaron Levie: Yeah. I think the challenge is that, that that information changes a week later. And because something happened in the market for that [00:43:00] customer, or us as a company that now has to go get updated, and so these systems are living and breathing and they have to experience reality and updates to reality, which right now is probably gonna be humans, you know, kinda giving those, giving them the updates.And, you know, there is this piece about context graphs as as, uh, that kinda went very viral. Yeah. And I, I, I was like a, i, I, I thought it was super provocative. I agreed with many parts of it. I disagree with a few parts around. You know, it's not gonna be as easy as as just if we just had the agent traces, then we can finally do that work because there's just like, there's so much more other stuff that that's happening that, that we haven't been able to capture and digitize.And I think they actually represented that in the piece to be clear. But like there's just a lot of work, you know, that that has to, you just can't have only skills files, you know, for your company because it's just gonna be like, there's gonna be a lot of other stuff that happens. Yeah. Change over time.Yeah. Most companies are practically apprenticeships.swyx: Most companies are practically apprenticeships. LikeJeff Huber: every new employee who joins the team, [00:44:00] like you span one to three months. Like ramping them up.Aaron Levie: Yes. AllJeff Huber: that tat knowledgeAaron Levie: isJeff Huber: not written down.Aaron Levie: Yes.Jeff Huber: But like, it would have to be if you wanted to like give it to an Asian.Right. And so like that seems to me like to beAaron Levie: one is I think you're gonna see again a premium on companies that can document this. Mm-hmm. Much. There'll be a huge premium on that because, because you know, can you shorten that three month ramp cycle to a two week ramp cycle? That's an instant productivity gain.Can you re dramatically reduce rework in the organization because you've documented where all the stuff is and where the answers are. Can you make your average employee as good as your 90th percentile employee because you've captured the knowledge that's sort of in the heads of, of those top employees and make that available.So like you can see some very clear productivity benefits. Mm-hmm. If you had a company culture of making sure you know your information was captured, digitized, put in a format that was agent ready and then made available to agents to work with, and then you just, again, have this reality of like add a 10,000 person [00:45:00] company.Mapping that to the, you know, access structure of the company is just a hard problem. Is like, is like, yeah, well, you just, not every piece of information that's digitized can be shared to everybody. And so now you have to organize that in a way that actually works. There was a pretty good piece, um, this, this, uh, this piece called your company as a file is a file system.I, did you see that one?swyx: Nope.Aaron Levie: Uh, yes. You saw it. Yeah. And, and, uh, I actually be curious your thoughts on it. Um, like, like an interesting kind of like, we, we agree with it because, because that's how we see the world and, uh,swyx: okay. We, we have it up on screen. Oh,Aaron Levie: okay. Yeah. But, but it's all about basically like, you know, we've already, we, we, we already organized in this kind of like, you know, permission structure way.Uh, and, and these are the kind of, you know, natural ways that, that agents can now work with data. So it's kind of like this, this, you know, kind of interesting metaphor, but I do think companies will have to start to think about how they start to digitize more, more of that data. What was your take?Jeff Huber: Yeah, I mean, like the company's probably like an acid compliant file system.Aaron Levie: Uh,Jeff Huber: yeah. Which I'm guessing boxes, right? So, yeah. Yes.swyx: Yeah. [00:46:00]Jeff Huber: Which you have a great piece on, but,swyx: uh, yeah. Well, uh, I, I, my, my, my direction is a little bit like, I wanna rewind a little bit to the graph word you said that there, that's a magic trigger word for us. I always ask what's your take on knowledge graphs?Yeah. Uh, ‘cause every, especially at every data database person, I just wanna see what they think. There's been knowledge graphs, hype cycles, and you've seen it all. So.Aaron Levie: Hmm. I actually am not the expert in knowledge graphs, so, so that you might need toswyx: research, you don't need to be an expert. Yeah. I think it's just like, well, how, how seriously do people take it?Yeah. Like, is is, is there a lot of potential in the, in the HOVI?Aaron Levie: Uh, well, can I, can I, uh, understand first if it's, um, is this a loaded question in the sense of are you super pro, super con, super anti medium? Iswyx: see pro, I see pros and cons. Okay. Uh, but I, I think your opinion should be independent of mine.Aaron Levie: Yeah. No, no, totally. Yeah. I just want to see what I'm stepping into.swyx: No, I know. It's a, and it's a huge trigger word for a lot of people out Yeah. In our audience. And they're, they're trying to figure out why is that? Because whyAaron Levie: is this such aswyx: hot item for them? Because a lot of people get graph religion.And they're like, everything's a graph. Of course you have to represent it as a graph. Well, [00:47:00] how do you solve your knowledge? Um, changing over time? Well, it's a graph.Aaron Levie: Yeah.swyx: And, and I think there, there's that line of work and then there's, there's a lot of people who are like, well, you don't need it. And both are right.Aaron Levie: Yeah. And what do the people who say you don't need it, what are theyswyx: arguing for Mark down files. Oh, sure, sure. Simplicity.Aaron Levie: Yeah.swyx: Versus it's, it's structure versus less structure. Right. That's, that's all what it is. I do.Aaron Levie: I think the tricky thing is, um, is, is again, when this gets met with real humans, they're just going to their computer.They're just working with some people on Slack or teams. They're just sharing some data through a collaborative file system and Google Docs or Box or whatever. I certainly like the vision of most, most knowledge graph, you know, kind of futuristic kind of ways of thinking about it. Uh, it's just like, you know, it's 2026.We haven't seen it yet. Kind of play out as as, I mean, I remember. Do you remember the, um, in like, actually I don't, I don't even know how old you guys are, but I'll for, for to show my age. I remember 17 years ago, everybody thought enterprises would just run on [00:48:00] Wikis. Yeah. And, uh, confluence and, and not even, I mean, confluence actually took off for engineering for sure.Like unquestionably. But like, this was like everything would be in the w. And I think based on our, uh, our, uh, general style of, of, of what we were building, like we were just like, I don't know, people just like wanna workspace. They're gonna collaborate with other people.swyx: Exactly. Yeah. So you were, you were anti-knowledge graph.Aaron Levie: Not anti, not anti. Soswyx: not nonAaron Levie: I'm not, I'm not anti. ‘cause I think, I think your search system, I just think these are two systems that probably, but like, I'm, I'm not in any religious war. I don't want to be in anybody's YouTube comments on this. There's not a fight for me.swyx: We, we love YouTube comments. We're, we're, we're get into comments.Aaron Levie: Okay. Uh, but like, but I, I, it's mostly just a virtue of what we built. Yeah. And we just continued down that path. Yeah.swyx: Yeah.Aaron Levie: And, um, and that, that was what we pursued. But I'm not, this is not a, you know, kind of, this is not a, uh, it'sswyx: not existential for you. Great.Aaron Levie: We're happy to plug into somebody else's graph.We're happy to feed data into it. We're happy for [00:49:00] agents to, to talk to multiple systems. Not, not our fight.swyx: Yeah.Aaron Levie: But I need your answer. Yeah. Graphs or nerd Snipes is very effective nerd.swyx: See this is, this is one, one opinion and then I've,Jeff Huber: and I think that the actual graph structure is emergent in the mind of the agent.Ah, in the same way it is in the mind of the human. And that's a more powerful graph ‘cause it actually involved over time.swyx: So don't tell me how to graph. I'll, I'll figure it out myself. Exactly. Okay. All right. AndJeff Huber: what's yours?swyx: I like the, the Wiki approach. Uh, my, I'm actually

In this episode, Lex chats with Yoshi Yokokawa, CEO of Alpaca — a brokerage infrastructure company that provides API-based trading and custody services to fintechs and developers globally. The conversation begins with their shared experience at Lehman Brothers during the 2008 financial crisis, where Yoshi worked in fixed income securitization and learned that even when market participants sense a bubble, they keep dancing because timing the exit is impossible. After Lehman's collapse, Yoshi pursued entrepreneurship, building a computer vision AI company acquired by Kyocera before founding Alpaca in 2017. Initially inspired by Robinhood, Yoshi pivoted after experiencing firsthand the friction of accessing brokerage infrastructure—realizing the deeper opportunity was building API-first brokerage rails for developers. Today Alpaca powers 9 million accounts through 300+ partners across 45 countries, recently raising $150 million at a unicorn valuation. The discussion explores how Alpaca follows Robinhood's product roadmap to anticipate partner demand, the challenges of adding crypto, and Yoshi's thesis that finance is undergoing a generational shift from digital to on-chain operations. Lex shares examples of legacy infrastructure dysfunction—from faxing PDFs to TD Ameritrade in 2012 to the Synapse collapse caused by manual CSV uploads—illustrating why Alpaca built its own custody and ledger systems as a path to competing in the $350 trillion global securities custody market. NOTABLE DISCUSSION POINTS: Alpaca's biggest breakthrough was not a better investing app idea, but recognizing that the real bottleneck was brokerage infrastructure. Yokokawa and team initially explored B2C product concepts, but pivoted once they experienced firsthand how painful broker-dealer setup, custody, and clearing integrations were. For readers building fintech, this is a huge lesson: the highest-value opportunity is often the “invisible” infrastructure pain, not the user-facing feature set. They found product-market fit by starting with a narrow wedge (API for automated traders) and only then expanding into a broader platform (Broker API for fintech apps). Alpaca did not begin by serving large fintechs; it first attracted power users who urgently needed programmable execution, then used inbound demand (“can I build my own Robinhood?”) as proof to build account opening, reporting, and full brokerage APIs. This is a valuable go-to-market pattern for infrastructure startups: win with a sharp use case, then expand into the system of record. Yokokawa's core strategic edge is full-stack control of licenses, memberships, and ledger technology rather than relying on legacy vendors. He explicitly ties this to lessons from historical fintech fragility (manual workflows, broken reconciliations, middleware failures) and argues that owning the custody/clearing layer is what makes Alpaca defensible long term. For readers, this is the key takeaway on moat-building in financial services: if you don't control the ledger and operational core, your product may scale faster at first but remains structurally fragile. TOPICS Alpaca, Lehman Brothers, Barclays, Nomura, Neuberger Berman, Blackrock, Robinhood, Interactive Brokers, TD Ameritrade, BNY Mellon, Brokerage infrastructure, API, trading, tokenization, embedded finance, fintech, crypto, web3   ABOUT THE FINTECH BLUEPRINT

Are your quotes quietly dying in “let me think about it” — even after what felt like a great meeting?You show up prepared. You build rapport. You talk through the job in detail. The client seems excited. Then you send the quote… and nothing. No yes. No no. Just silence. If this sounds familiar, you don't have a closing problem — you likely have a quoting problem. And the good news? Your quote is one of the easiest parts of your sales process to fix — and one of the fastest ways to increase revenue.In this episode, you'll discover:Why basic, one-page quotes fail to engage buyers — and how better presentation instantly lifts perceived professionalismHow confusing, technical language kills clarity and what to say instead so customers truly understand what they're buyingThe power of storytelling in your quote to increase perceived value and reduce “I need to think about it” responsesHit play now to learn how to transform your quotes from flat, forgettable PDFs into compelling proposals that convert more jobs without chasing harder.New episodes every Monday, Wednesday and Friday.Book in your ‘Free Quote Audit' nowTo see how we've helped business grow their sales:Read Client ResultsWatch TestimonialsOr email Ben if you would like to get in touch: hello@strongersalesteams.comThis podcast helps the entrepreneur, founder, CEO, and business owner in the trade, construction and industry segments, regain focus, build confidence, and achieve measurable results through powerful sales training, effective sales strategy, and expert sales coaching—guiding every sales leader, sales manager, and sales team in mastering the sales process, optimizing the sales pipeline, and driving business growth while fostering leadership, balance, and freedom amidst overwhelm, stress, and potential burnout, creating lasting peace of mind and smarter decision making for every California business and Australia business ready to scale up with excellence in sales management.

Most pitch decks are failing because PDFs no longer match how investors actually consume information, especially on mobile.   That is the problem Avi Solomon and his team at Pulse are solving with AI.   In brief: • Interactive decks increase conversions • AI now makes advanced pitch decks economically viable • Investors increasingly expect interactive, mobile-native formats   Pulse feels like a category shift because the decks behave like interactive web pages not documents where on-screen motion captures attention, information is layered so investors can skim or drill down without friction, and everything is explorable.   The most compelling feature is interactivity around underwriting where investors can stress tests assumptions, using the sponsor's pro-forma (hidden behind the scenes), to see how returns change. That reframes underwriting from a static presentation into a shared analytical exercise.   Financials follow the same logic. Sources and uses, pro formas, rent comps, and market data are presented at a high level first, then expanded line by line only if the investor chooses.   The visuals support the story rather than overwhelm it where floor plans become 3D renderings, amenities are navigable, sponsor bios expand on demand and with video when available. Bottom line: Pulse reflects where capital formation is heading. Pitch decks are no longer just documents, they are interactive environments designed around how investors evaluate risk and make decisions.   If you are still sending PDFs and hoping for engagement, this episode is worth watching.   ***   At GowerCrowd, we are bringing the most advanced AI tools to our clients for both capital formation - but across other operational verticals too (like acquisitions). If you'd like to learn more about how we can assist you too, please reach out.   Subscribe to my newsletter and get access to this transformational intel before anyone else:  https://gowercrowd.com/subscribe Email: adam@gowercrowd.com Call: 213-761-1000

We're talking about a literal mess today. Let's dive into the powerful lesson found in Genesis 28:16! And grab study guides for the whole family here: - To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeU-Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/Get our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Do you know someone who might be curious and open to learning more about Jesus? Don and John walk through a biblical model called the Four Circles of Transformation to give insight into how to share your faith, engage in conversations with others who are exploring their faith, and how to help lead them to a relationship with Jesus. SHOW NOTES To access PDFs, view the links below. Gospel on a Napkin4 Circles of Transformation

You're not lazy. You're not broken. You're overloaded. And if you're a high performer, here's the truth nobody says out loud: you're the easiest person to knock off track because you're the person who tries to hold everything together. You carry the calendar. You carry the decisions. You carry everybody else's needs. And when life gets loud, even the most disciplined people drift. So let's normalize it: getting off track is part of being human. The only thing that matters is how fast you get back on track. In this episode, I'm walking you through The 24‑Hour Reset. It's a science-backed, real-life process I've used for years to pull myself out of funks, ruts, and chaos. And I've taught this same reset to thousands of high performers who needed one thing: a way to get back in control fast. No shame. No perfection. Just a road-tested plan that works when your life is already full. Here are the 5 steps of the 24‑Hour Reset we'll run together: Change your state Clear the clutter Choose the win Finish strong Own the first hour And I'm giving you one of the simplest, most effective tools for clearing mental clutter: the Brain Sweep Exercise. You stop carrying open loops in your head and give each one a next move: Do it Delete it Defer it Delegate it Schedule it If you've been off your routine, behind on everything, or stuck in that “I'll start Monday” loop, this is your next step. Press play, run the reset, and get your life back. Remember, grab your FREE, custom-designed PDFs at idareyoupod.com: The Daring 5-Step Scale-Up Plan: A simple worksheet to define your 10x self and align your calendar with that future. 10x Companion Worksheet: Quick prompts to help you apply the episode and practice the 10x mindset all week. 10x Is Easier Than 2x — Visual Synopsis: A clean, scroll-stopping summary of the best-selling book by Dr. Benjamin Hardy and Dan Sullivan. Connect with Darrin Johnson: www.idareyoupod.com Instagram: @idareyoupod YouTube: https://www.youtube.com/@IDareYouPod TikTok: @idareyoupod

What happens when the "Brady Bunch" years are over and the house suddenly goes quiet? For many women, the empty nest isn't just a change in schedule - it's a full-blown identity crisis. In this "Hot Seat" coaching episode, Lori Lyons sits down with Dr. Karen Diegelman, a former special education teacher who proved it's never too late to start over by earning her PhD at age 56. Together, they strip away the "coachy" language and dive into the raw reality of midlife transitions. If you've ever walked into your child's empty bedroom and felt like a stranger in your own home, this episode is for you. 3 Things You Will Learn in This Episode: How to Separate "Mommy" from "Self": Learn to identify the specific symptoms of an identity crisis and how to validate your past without letting it stall your future. The "Shrine" vs. The "Space": Why giving yourself permission to reclaim physical space in your home is the first step toward reclaiming your mental space. Aspirational Business Growth: Why high-ticket clients pay for a "transformation" (like saving a marriage or finding a new purpose) rather than a list of PDFs or coaching calls. Join the conversation! Are you ready to reinvent your next chapter? Visit MyCoachLori.com to schedule your own Hot Seat. Schedule your Profitable Path Blueprint call.  If you're considering working together and want to see if it's a fit, book a Profitable Path Blueprint Call. It's a simple, no-pressure conversation to decide whether working together makes sense.  Resources: Click HERE to receive your free gift - Get Clients to Say "YES!" The Ultimate Social Proof Checklist Every Business Needs to Build Trust and Boost Sales Join Lori's private Facebook group - The Midlife Business Academy. A Facebook group for The Typewriter Generation!  A community to share business growth strategies that work for us! Join now!   Connect with Lori Follow me on social media - grab other free resources of book a call - it's all right here! Apply for a "Hot Seat" coaching session to work through your business challenges live: MyCoachLori.com

Today we're studying Genesis 25:31, 34 in just one minute! Grab your scriptures and let's dive into them together!And grab study guides for the whole family here: -Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/- To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeUGet our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Listen to Big Picture to get the quick context for this week's reading, Genesis 24-33!And grab study guides for the whole family here: - To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/hd85Cuj-Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/Get our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Send a textWant to see your PDFs think like a database and your chatbots answer with context, not guesses? We sit down with technologist and entrepreneur Max Riggsbee Jr., co-founder of Gadget Software, to unpack how compute-ready documents—what he calls semantic twins—turn unstructured content into structured, queryable knowledge that both humans and machines can trust. Max explains why simply chunking PDFs into a chatbot loses meaning, and how deep descriptors, QA pairs, and entity maps let you navigate ideas, not just pages.We go inside directed AI, where you choose the exact slices of content a model can touch, then generate summaries, outlines, or tables grounded in that selection. Max shares results from work with Signal65, Dell, and Broadcom showing fewer hallucinations, faster token throughput, and better energy use when AI is fed structured, contextual data. From there, we get practical about agentic workflows: the validator checks you need before any output ships downstream, and why human-in-the-loop review still matters. Max's “Georgia” test—person, state, country, or font—reveals how ambiguity explodes without metadata. He also breaks down a real failure in a political cartoon pipeline where an agent inferred a story from SEO slugs instead of reading the article, and how guardrails caught it.Our conversation widens to legacy and Black history. Grant traces family records from enslavement to land ownership, underscoring how caricatures like Jim Crow distort truth when they calcify into the story we're told. Maxwell introduces Then Is Now, the audio diary project he runs with his 90-year-old father, using authentic voice recordings and AI to frame the surrounding historical context. We talk about scanning non-digital originals like the Pentagon Papers as a stepping stone to microfiche, county archives, and the overlooked documents that can restore names, places, and property to the record. On the technical edge, Max shows how rich textual descriptions can stand in for heavy images, enabling vision models to re-render diagrams on demand, making insights lighter and more scalable.If you work with unstructured data, lead AI projects, or care about preserving the story with accuracy, this conversation gives you a roadmap: structure your sources, validate your agents, and keep humans in charge of meaning. Subscribe, share this episode with a friend who needs better answers from their data, and leave a review to help others find the show.Thanks for tuning in to this episode of Follow The Brand! We hope you enjoyed learning about the latest trends and strategies in Personal Branding, Business and Career Development, Financial Empowerment, Technology Innovation, and Executive Presence. To keep up with the latest insights and updates, visit 5starbdm.com. And don't miss Grant McGaugh's new book, First Light — a powerful guide to igniting your purpose and building a BRAVE brand that stands out in a changing world. - https://5starbdm.com/brave-masterclass/ See you next time on Follow The Brand!

Today we're studying Genesis 19:15 in just one minute! Grab your scriptures and let's dive into them together!And grab study guides for the whole family here: -Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/- To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeUGet our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.

Do we have trust that God will provide for us? Let's study Genesis 22:8!And grab study guides for the whole family here: - To get Cali's scripture study guide for adults click here: https://comefollowmestudy.com/shop/ Discount code: OMSSOr purchase on Amazon: https://a.co/d/4qocgeU-Grab Kristen's copies of helpful PDFs and study guides here: https://shop.kristenwalkersmith.com/products/ Check out her monthly Come Follow Me YouTube videos here: https://kristenwalkersmith.com/youtube/Get our NEW 365-day Old Testament daily devotional book on Amazon: https://a.co/d/0p3Ds0t Hosted on Acast. See acast.com/privacy for more information.