Podcasts about designing

Today, we're talking to Campbell Brown, CEO and co-founder of PredictHQ. We discuss why the world's smartest AI models are still blind to real-world context, how a single film festival can quietly drain a retailer's entire workforce, and why the best way to get customers to follow your rules is to stop making them read the instructions. All of this right here, right now, on the Modern CTO Podcast!  To learn more about PredictHQ, check out their website here.

Send us Fan MailUnderstanding HIPAA compliance is more critical than ever for private practices. In this Private Practice Survival Guide episode, Brandon Seigel sits down with technologist Yves Martin to uncover the essential shifts and ongoing requirements in HIPAA regulations. They explore what it truly means to be compliant in an evolving digital landscape, emphasizing strategies to protect patient data and avoid common pitfalls. Learn about new mandates, practical security assessments, and how to foster a culture of privacy within your organization. This episode is packed with invaluable insights for any healthcare professional looking to strengthen their data security and navigate HIPAA with confidence. What You'll Learn:The current state and future landscape of HIPAA complianceWhy avoiding 'gross negligence' is your top priorityMandatory changes like multi-factor authentication and data encryptionHow to conduct effective security risk assessmentsA critical, often-overlooked HIPAA update regarding substance abuse recordsCommon scenarios leading to HIPAA breaches and how to prevent themThe importance of a 'culture of privacy' in your practiceEquip yourself with the knowledge to maintain robust HIPAA compliance and ensure patient trust.#HIPAACompliance #PrivatePractice #DataSecurity #PatientPrivacy #HealthcareRegulationsAmazon Bestselling Author and Founder and CEO of MQUAL Advanced IT Engineering and Support. Yves Martin has been programming computers since age twelve, starting with BASIC on a TRS-80. He studied Industrial Engineering at Lehigh University and holds a Professional Certificate in Artificial Intelligence from MIT, along with a certification in Designing and Building AI Products and Services. He also holds certificates in Statistics, Data Analysis, Data Science, and Analyzing and Visualizing Data. With over twenty years of experience designing and building IT and data systems—including business intelligence platforms—he combines technical depth with practical insight. As an author, he writes about artificial intelligence, cyber security and compliance and the use of technology to automate business processes.https://www.mqual.com https://www.facebook.com/mqualtech Welcome to Private Practice Survival Guide Podcast hosted by Brandon Seigel! Brandon Seigel, President of Wellness Works Management Partners, is an internationally known private practice consultant with over fifteen years of executive leadership experience. Seigel's book "The Private Practice Survival Guide" takes private practice entrepreneurs on a journey to unlocking key strategies for surviving―and thriving―in today's business environment. Now Brandon Seigel goes beyond the book and brings the same great tips, tricks, and anecdotes to improve your private practice in this companion podcast. Get In Touch With MePodcast Website: https://www.privatepracticesurvivalguide.com/LinkedIn: https://www.linkedin.com/in/brandonseigel/Instagram: https://www.instagram.com/brandonseigel/https://wellnessworksmedicalbilling.com/Private Practice Survival Guide BookThis show is proudly produced at PS Studios — learn more https://www.psstudios.co

Most writers are taught to think about plot, character arcs, genre, theme, setting, cast, and prose as separate craft problems. But what if they are all doing the same job? What if every tool in your novel exists to shape one thing: the reader's emotional journey? In this solo episode of The Dialogue Doctor Podcast, Jeff Elkins introduces the big idea behind his new book, The Dialogue Doctor on Writing Emotion. Instead of treating emotion like something mysterious that either "works" or doesn't, Jeff breaks it down into a practical framework writers can actually use. You'll learn how to think about your story through seven emotional tools: trajectory, vector, alignment, saturation, velocity, pressure, and altitude. These tools help explain why readers feel hope, dread, comfort, tension, frustration, satisfaction, heartbreak, or joy as they move through a story. Jeff also talks about why traditional story systems like Save the Cat, Story Grid, and beat sheets are useful—but limited. The goal is not to throw those systems away. The goal is to understand what they are doing to the reader so you can use them with more freedom, confidence, and creativity. Watch this episode if you want to stop guessing your way through emotional scenes and start designing a reader journey that actually lands. Because great stories do not just happen on the page. They happen inside the reader.

Award-winning interior designer Kelly Hoppen CBE joins Tanya Rose to reveal the travel experiences that have shaped both her life and her extraordinary career. From spending every Christmas in South Africa as a child to designing some of the world's most beautiful homes, hotels, yachts and private jets, Kelly explains why travel has been her greatest source of inspiration. In this episode, Kelly shares: why Kelly believes everyone should experience Asia at least once how childhood trips to South Africa shaped the designer she became the unforgettable hike to Bhutan's Tiger's Nest the hidden side of Beijing and Shanghai the best meal she's ever eaten in Capri and her favourite hotels and restaurants her top travel tip for packing and planning every trip the final holiday she shared with her father in Sicily why a sunset in Mallorca is one of her most treasured travel memories Chapters  01:32 How travel shaped Kelly's life and career 06:20 Secret #1: The one destination everyone should visit 10:18 Secret #2: Her most unexpected travel experience 13:49 Secret #3: Most overrated (and underrated) destinations 19:36 Secret #4: Favourite food and restaurants around the world 24:18 Secret #5: Kelly's best travel tip 31:02 Secret #6: Her most poignant travel memory 35:25 Designing cruise ships, yachts and hotels 37:16 What's next for Kelly Hoppen? Places mentioned South Africa Asia China Hong Kong Beijing Shanghai Japan Bhutan Finland Antwerp The Cotswolds Capri Ravello Lake Como Sicily Mallorca Ibiza Puglia

The fastest way to become a trusted leader isn't getting promoted. It's becoming the person people run to when something hurts, and you can help fix it.Jackie sat down with Darrell Williams, a master certified life coach and longtime military and federal leader, to translate high-pressure leadership into everyday skills for educators and instructional designers. We dig into why rank never guarantees someone's best work, how culture and connection matter even more on remote teams, and what it looks like to lead through influence when you don't have formal authority. Darrell shares practical language you can use right away, like asking colleagues what their biggest “headache” is and shifting from “boss energy” to a consultant approach that makes you a strategic partner.We also go deeper than tactics. If you feel stuck, stretched thin, or unsure about your next step, Darrell offers his “three R's” framework to reconnect with purpose: re-look at your passion, reconnect with a mentor, and review options for a coach. Then we bring it back to performance under pressure with a story from presidential support missions, showing how calm leadership helps teams think, improvise, and own solutions. Plus, a memorable reframe for nerves: the butterflies may not leave, so learn to walk with them in formation.If you found value here, subscribe to Designing with Love, share this with a colleague, and leave a heartfelt review so more instructional designers and educators can find these leadership tools.

Grant shares the real origin story—growing up around dirt bikes and construction with his dad, the moment a tensioned bungee cord sunk into his father's hand, and how that gap in the market stuck with him for years. After becoming a dad himself and feeling limited in the trades, he dug the old "Grant Strap" idea out of his phone notes during COVID and decided to actually build it. They dig into the messy reality of inventing and launching a physical product: the prototype phase with Home Depot parts and Alibaba springs, finding the right tension (about 120 lbs on the first model), avoiding the "mailbox money" invention scammers, making and selling the first ugly versions yourself, and why "people don't buy ideas—they buy products." Grant explains how the spring-loaded design works, the continuous polyester limiter band for safety and load rating, why it stays tight when loads shift or compress (coolers, cardboard, UTVs, Jeeps), and the three models (1", 1.5", and the 2" Pro with ratchet) that cover everything from college moves to Moab trailers. The conversation also covers the less glamorous side of business—patent threats that turned into nothing, copycats, why building a strong brand and customer service is better protection than a patent alone, working-load math that goes beyond just vehicle weight, all-weather durability, proper care for lifetime performance, pack sizes, lengths, and extensions. Grant talks about his Invent With Me podcast (helping inventors avoid the same pitfalls he hit) and what's next for TorkStrap: more trade shows, social content, and partnerships rather than diluting the core product. If you've ever cursed a ratchet strap in the rain, watched a load loosen on the highway, or thought about turning a simple idea into a real business, this one's for you. **Timestamps** 00:00 AI Sign Language for Deaf Viewers 00:41 Early Inspiration for Better Cargo Straps 02:36 Childhood Prototypes Reveal Market Gap 04:10 COVID Motivation to Launch Business 07:04 Inventor Licensing Pitfalls and DIY Sales 09:48 Prototyping, Sampling, and First Customers 11:52 Designing the Spring-Loaded Torque Strap 14:06 How Torque Straps Work and Their Benefits 22:48 Creative Branding Ideas for Torque Straps 24:05 Facing Competition and Patent Infringement 27:33 Defending the Product Against Patent Claims 28:12 Commitment to Quality and Customer Support 29:10 Competing with Copycats and Maintaining Reputation 30:05 Encouraging Ethical Purchasing 30:58 Patent Vulnerabilities and Enforcement Challenges 35:53 Introducing the Invent With Me Podcast 37:17 Calculating Load Ratings and Strap Sizing 44:28 All-Weather Durability and Maintenance 45:30 Spring Longevity and Packaging Options 47:02 Pricing Packs and Managing Expectations 48:04 Customizing Strap Lengths for Use 49:01 Strap Longevity and Care Guidelines 50:50 Subscription Idea Mentioned 51:04 Social Media Presence and Promotion 54:35 Upcoming Marketing Focus for Torque Strap 56:09 Shift from Engineering to Marketing 56:40 Humorous Product Concepts and April Fools 57:08 Closing Remarks and Podcast Promotion 57:42 Final Thoughts and Gratitude **Key takeaways** - Just pull—spring tension adapts to load shift or compression so you rarely (or never) have to stop and re-tighten. - Continuous polyester strap carries the actual load rating; the spring is the adaptive element with a limiter. - Three models cover light-to-heavy needs, including a 2" Pro with ratchet for vehicles and heavier cargo. - Lifetime warranty when treated with respect; average "cheap strap" life is ~2 years because people leave them in the bed. - Best protection in business isn't always the patent—it's being the guy who answers the phone, honors the warranty, and shows up every day. Check out TorkStrap: Website: https://torkstrap.com Social (all platforms): @tork_strap Invent With Me podcast: Search "Invent With Me" on YouTube, Spotify, or Apple TorkStrap M500 14' x 1'' Self-Tensioning Tie Down Straps (4-Pack) https://www.amazon.com/TorkStrap-M500-Self-Tensioning-Straps/dp/B0B9J1JW7M TorkStrap HD750 14' x 1.5'' Self-Tensioning Tie Down Straps https://www.amazon.com/TorkStrap-Self-Tensioning-Straps-Patented/dp/B0CHGDFL2W TorkStrap PRO 25' x 2'' Self-Tensioning Ratchet Straps https://www.amazon.com/TorkStrap-Tensioning-Ratchet-Straps-Strength/dp/B0F1N84TY1 TorkStrap HD750 Bundle with Carry Bag https://www.amazon.com/TorkStrap-Bundle-Spring-Loaded-Straps/dp/B0CQT6ZTKX Every purchase through these links helps support the Jeep Talk Show at no extra cost to you. For more recommended Jeep gear, tools, and show favorites, visit https://jeeptalkshow.com/amazon. Visit our website: https://jeeptalkshow.com/ Watch/Listen on Spotify https://jeeptalkshow.com/spotify Join our Discord Server: https://jeeptalkshow.com/discord Subscribe to our newsletter: https://jeeptalkshow.com/newsletter Help Support the show via Patreon: https://jeeptalkshow.com/patreon

#1017 Ever wondered how a simple lifelong skill can evolve into a thriving, multi-stream business? In this episode, host Kirsten Tyrell sits down with professional organizer and entrepreneur Laurie Palau, founder of Simply B Organized, to unpack her journey from corporate America to building a successful organizing brand long before Instagram or the creator economy existed. Laurie shares how she grew her business through grassroots marketing, built trust within her local community, and later expanded into workshops, speaking, podcasting, and mentoring. She also dives into the importance of authenticity, knowing your bandwidth, and designing a business that fits each season of life. Whether you're exploring the organizing space or looking to grow a service-based business with intention, this episode offers practical and inspiring insight into sustainable entrepreneurship! (Original Air Date - 11/25/25) What we discuss with Laurie: + Transition from corporate to entrepreneurship + Early days of professional organizing + Finding first clients through grassroots outreach + Testing services before scaling + Evolving into workshops and speaking + Launching a podcast in 2017 + Building multiple revenue streams + Authenticity as a business advantage + Time blocking for productivity + Designing a business for each life season Thank you, Laurie! Check out Simply B Organized at ⁠SimplyBOrganized.com⁠. To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Originally broadcast live.E-commerce fulfillment is hyper-competitive. Brands are demanding faster SLA turnarounds, custom unboxing experiences, and complete real-time visibility—all while warehouse operational costs rise and margins get squeezed tighter every year.Whether you're a 3PL looking to break into e-commerce fulfillment or an established operator aiming to scale without operational chaos, we're putting this livestream on to serve as your actionable playbook.Join Kevin as he sits down with three industry powerhouses to break down the full lifecycle of a profitable e-commerce 3PL.What We'll Cover:1. How to position your 3PL to attract high-value DTC brands without entering a price war.2. Vetting your Ideal Client Profile (ICP) and setting rock-solid SLAs before signing the contract.3. Transitioning from B2B/bulk moves to unit-level pick-and-pack workflows.4. Designing lean floor processes that handle 5x seasonal volume spikes without throwing extra labor at broken processes.5. Spotting silent margin leakage: uncaptured custom labor, manual billing errors, and unmonitored SLA penalties.6. Leveraging data and SKU-level profitability models to ensure every account remains profitable.Learn more about Pallite here.Learn more about Big Joe's AP44 here. Follow us on LinkedIn and YouTube.Support the show

Most artists don't lose their business to one catastrophic decision — they lose it to a hundred small yeses. In this episode, Chelsea reframes boundaries entirely: not as walls that keep people out, but as the architecture that makes a business livable. She makes the case that capacity is finite and non-negotiable, that every yes is a no to something else whether you choose it or not, and that the guilt keeping most artists from setting boundaries is the real obstacle — not the logistics. This is a permission-giving episode with real structure underneath it.WHAT YOU'LL LEARN·  Why a hundred small, reasonable yeses can quietly consume an entire business·  The reframe: boundaries as architecture, not walls — structure that makes a space usable·  Why an empty calendar square is not the same as available capacity·  How to treat capacity as a budget with real deposits and withdrawals·  Why guilt — not logistics — is the actual obstacle to setting boundaries·  The practical reframe: every no is in service of a yesRESOURCES & LINKSMentioned in this episode:· ⁠⁠⁠Join Momentum — Hennapreneur's membership for henna artists⁠⁠⁠· ⁠⁠⁠Hennapreneur website⁠⁠⁠· ⁠⁠⁠Download the Hennapreneur app⁠⁠⁠Connect with Chelsea:· ⁠⁠⁠Instagram — @hennapreneur.official⁠⁠⁠· ⁠⁠⁠Facebook — Hennapreneur⁠⁠If this episode started something for you, share it with another henna artist who needs to hear it. This conversation belongs in every corner of our industry. And if you're ready to go deeper, ⁠⁠Momentum⁠⁠ is where that happens.

In this Q&A episode, Travis and producer Eric break down a powerful lesson from bestselling author Mark Manson on why discipline isn't about having more willpower—it's about eliminating distractions. Using stories from famous authors like Stephen King, Ian Fleming, and Jack Carr, they explore how changing your environment can dramatically improve focus, productivity, and creative output. If you've ever struggled to stay on task, procrastinated on an important project, or blamed your phone for your lack of focus, this episode offers practical strategies to help you get more meaningful work done. On this episode we talk about: Why environment matters more than willpower when it comes to productivity Mark Manson's "too many options" theory and how distractions sabotage focus Writing routines and productivity habits from Stephen King, Ian Fleming, and Jack Carr Practical ways to eliminate distractions while working from home How procrastination happens—and simple systems to overcome it Top 3 Takeaways Discipline is less about having stronger willpower and more about creating an environment where distractions are removed. Keeping too many options open makes it harder to focus. Closing unnecessary doors often leads to better results. Small, consistent progress beats waiting until the last minute. Build systems that make productive actions the easiest choice. Notable Quotes "You don't have too many distractions—you have too many options." "Set up something for yourself where it's easier to get the work done than it is to not get it done." "Don't shoot yourself in the foot just to see if you can walk." Connect with Travis Chappell:  Instagram: https://www.instagram.com/travischappell/ Other: https://travischappell.com/ A Word from Our Sponsors: - Visit DrinkAG1.com/TMM to get a free AG1 Travel Case with 7 free AG1Travel Packs in your Welcome Kit with your first AG1 subscription order while supplies last.  - Go to Leesa.com for 25% OFF select mattresses (through August 23, 2026) PLUS get an extra $50 off with promo code TMM, exclusive for my listeners  Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us Fan MailDo you know how to explain to kids what kinds of STEM careers are out there?Mike McCarthy is passionate about showing young people a type of STEM career that they likely haven't yet been exposed to. As Vice President at Design Communications Ltd (DCL), an internationally recognized custom manufacturer of architectural specialty products, Mike has been involved in large scale new construction and renovations of sports stadiums, theme parks, shopping malls, movie theaters, hospitals, universities and a variety of other projects. Some of those places include Walt Disney World, SoFi Stadium, TD Garden, Madison Square Garden, Gillette Stadium, Netflix, Linked In, Amazon, Facebook, Coca-Cola, Hasbro, Logan Airport and many others. They engineer, fabricate and install artistic specialty elements and experiential tech (sculptures, signage, and LEDs/Projection mapping, etc).As part of the Massachusetts STEM Advisory Council, Mike also enjoys showing kids that there are fun careers in STEM that aren't connected to life sciences or coding. He double majored in Art and Mechanical Engineering, and will explain how you can help kids interested in the intersection between art and engineering.Thanks for listening, and be sure to check out Mike & DCL's work by clicking the links below: Connect with Mike:DCL Website: designcommunicationsltd.comSee some of the DCL projects: designcommunicationsltd.com/workLinkedIn: linkedin.com/in/mikemccarthy76/Chris Woods is the host of the STEM Everyday Podcast...Connect with him:Website: dailystem.comTwitter/X: @dailystemInstagram: @dailystemYouTube: @dailystemGet Chris's book Daily STEM on AmazonSupport the show

Send us Fan MailOne great bourbon story can change your whole drinking life, and Ed Blake's starts with a bottle he avoided for years. After a bad early run-in with bourbon, he returns to it later through a Pappy Van Winkle 15 and suddenly the rabbit hole opens. From there, we follow the real path from enthusiast to trusted palate: learning how to taste, learning how to talk about flavour, and learning how to help other people find what they actually like. Ed (Rising Tide Spirits) shares how barrel picks and community feedback sharpened his selection skills, including the practical reality of tasting barrels in winter, when whiskey can show harsher edges before it warms up. We also get into what it's like building brands as a non-distiller producer, how Old Stubborn came to life through a strong distillery relationship, and why he's committed to small production and high quality instead of chasing shelf space. Then we go deep on rye whiskey, especially MGP rye. We unpack the dill pickle note that turns some drinkers off, how fermentation timing can influence it, and why longer aging often brings more caramel sweetness, richer oak, and a smoother balance. If you're curious about Old Swagger, Old Stubborn, premium bourbon packaging, or what separates a hype bottle from a genuinely great pour, you'll leave with a clearer buying compass and a better vocabulary for your own palate. Subscribe for more whiskey conversations, share this with a rye or bourbon friend, and leave us a review with the best bottle you've had this year. What tasting note instantly makes you want another sip?We sit down with Ed Blake of Rising Tide Spirits and trace the real steps from bourbon fan to respected barrel picker and brand builder. We dig into how he sources and blends Old Stubborn and Old Swagger, why his packaging is part of the experience, and what he's learning from rye whiskey as the market shifts.  • Ed's early bourbon misfire and the moment Pappy brings him back  • Building a whiskey community and learning through shared pours  • The liquor store “help a shopper” moment that turns into a job  • How private barrel picks create trust and demand  • Sourcing as an NDP and why winter barrel samples can mislead  • Designing premium packaging that matches premium whiskey  • Staying small by choice while releases sell out fast  • Rye whiskey education, MGP dill notes, and how age softens them  • Barrel aging plans in Kentucky and a teased higher-aged release  Remember, we're the Scotchy Bourbon Boys, www.scotchyburbonboys.com for all things scotchy bourbon boys. Remember, you can get t-shirts, Glenn Karen's. Contact me direct for those. Whether you listen to us or you watch us, make sure you leave us good feedback.   If You Have Gohsts voice over Whiskey ThiefSupport the showhttps://www.scotchybourbonboys.comThe Scotchy bourbon Boys are #3 in Feedspots Top 60 whiskey podcasts in the world    https://podcast.feedspot.com/whiskey_podcasts/

Noz Nozawa's awareness of how spatial environments shape human emotion began during a challenging childhood. Growing up in a difficult domestic situation where she was not permitted to alter or personalize the common areas of the house, her bedroom became her solitary sanctuary. It wasn't until she went away to college and moved into her very first apartment in San Francisco that she experienced the transformative autonomy of shaping her own living quarters.That initial taste of spatial independence was immediately put to the test by a notoriously messy roommate. Noz recalls an extreme living environment marked by neglected appliances and mold growing on abandoned iced tea containers left on the floor. During a Christmas break, Noz gifted her roommate a complete clean-up of the apartment. The immediate, palpable relief they both felt upon returning to a clean, ordered home provided Noz with her very first visceral lesson: physical surroundings directly dictate mental health, emotional clarity, and daily sanity.This early realization served as the underlying foundation for Noz Design, which she established 12 years ago after transitioning out of marketing. Over a decade later, Noz has built a celebrated, multi-faceted practice known for its vibrant, deeply expressive interiors. Her journey illustrates how navigating early personal constraints can cultivate a profound empathy for human living spaces, fueling a multi-decade career centered on wellness and personal sanctuary.Find more about Noz at: nozdesign.com @noznozawa

Hosts John Williams and Marissa Lamperis Kastrinos sit down with Kirsten Waltz and Ryan Turner, leaders from the 2026 Health Guidelines Revision Committee (HGRC), to preview the physical design updates heading your way and the intent behind them.   Designing the next generation of healing environments is an exciting opportunity, and having the right tools makes all the difference. By understanding the intention behind several of the key changes in the 2026 FGI Code for Planning and Design of Hospitals before the launch, you can stay ahead of industry shifts, make better-informed design decisions, and position your projects for long-term success. 

Adding fruit trees to your landscape opens up new gardening possibilities. But to set your fruit tree garden up for success, you need to have a solid plan. Urban orchardist Susan Poizner returns to the podcast this week to explain the planning process, step-by-step, and the pitfalls to avoid. Podcast Links for Show Notes Download my free eBook 5 Steps to Your Best Garden Ever - the 5 most important steps anyone can do to have a thriving garden or landscape. It's what I still do today, without exception to get incredible results, even in the most challenging conditions. Subscribe to the joegardener® email list to receive weekly updates about new podcast episodes, seasonal gardening tips, and online gardening course announcements. Check out The joegardener® Online Gardening Academy for our growing library of organic gardening courses. Follow joegardener® on Instagram, Facebook, Pinterest, and Twitter, and subscribe to The joegardenerTV YouTube channel.

In this live-stream episode, Bryan is joined by Tim DeStasio, John Semmelhack, and Ty Branaman for a deep dive into residential ventilation — the often-overlooked "V" in HVAC. The group opens with quick life updates before launching into a wide-ranging conversation covering the three core ventilation strategies (circulation, extraction, and dilution), how tight home construction changes the ventilation equation, and why there is no single "magic number" that works for every house. A major theme is the physics of pressurization and depressurization. Tim walks through balanced strategies (ERVs and HRVs), positive-pressure approaches using ventilating dehumidifiers, and exhaust-only setups — explaining why exhaust-only, while still code-compliant, is his least favorite option due to the risk of pulling air from crawl spaces, attics, or combustion appliances. Using REDCalc, Tim demonstrates how even modest airflow can swing a tight house's pressure by ten or more pascals, and the group discusses how wind, stack effect, and seasonal conditions constantly change a home's natural air exchange rate. Ty brings a service-focused perspective, emphasizing measurement before intervention — checking CO2, carbon monoxide, and other indicators before jumping to solutions like bigger fans or added dehumidification. He shares real-world stories, including a rental home with elevated CO from an unvented gas range, and stresses that building science problems (duct leakage, poorly placed bath fans, depressurized combustion appliances) often hide behind symptoms that look like simple ventilation shortfalls. Large kitchen range hoods get particular attention: hoods moving 1,200 CFM or more can seriously depressurize a house, and the group discusses code thresholds for interlocked and powered makeup air, along with practical products like the Fantech MUAS. John rounds out the discussion with a walkthrough of a real high-performance home design, showing how an ERV can serve both whole-house outside air and continuous bathroom exhaust, how MERV 16 pre-filtration has become a common upgrade since the 2021—2022 wildfire smoke events, and how an ERV can be configured to boost into a makeup-air role when a range hood kicks on. The episode closes with a look at ventilating dehumidifiers, demand-controlled ventilation, the tradeoffs of leaving blower fans in the "on" position, and recommended resources for anyone wanting to go deeper into building science. Topics Covered The three ventilation strategies: circulation, extraction, and dilution How tight, high-performance construction drives the need for mechanical ventilation Calculating and understanding natural air exchange rates Balanced (ERV/HRV), positive-pressure, and exhaust-only ventilation strategies Using REDCalc to model pressurization and depressurization Why exhaust-only ventilation can create combustion safety risks Designing ventilation with flexibility beyond code-minimum rates Measuring first: CO2, CO, and pollutant levels before choosing a solution Large range hoods, makeup air requirements, and the Fantech MUAS system Passive capture and range hood geometry (corner hoods vs. center islands) A real-world high-performance home ERV design walkthrough MERV 16 pre-filtration for outside air following regional wildfire smoke events Using an ERV in a makeup-air configuration for range hood operation Ventilating dehumidifier strategy and sizing considerations Demand-controlled ventilation and the new ASHRAE 62.2-2025 guidance Risks of leaving blower fans in the "on" position, including duct leakage effects Recommended building science resources: Joseph Lstiburek, Allison Bailes, and TEC classes   Have a question that you want us to answer on the podcast? Submit your questions at https://www.speakpipe.com/hvacschool Purchase your tickets or learn more about the 8th Annual HVACR Training Symposium at https://hvacrschool.com/symposium. Subscribe to our podcast on your iPhone or Android. Subscribe to our YouTube channel. Check out our handy calculators here or on the HVAC School Mobile App for Apple and Android.

What can a sabbatical teach you about retirement? Learn how creating more margin today can help you build a richer life before retirement. Episode Summary What if retirement isn't something you should wait decades to experience? In this episode of Scripted Wealth, Tim & Tim reflect on their experiences taking extended sabbaticals and explore what those experiences revealed about retirement, work, identity, relationships, and financial planning. Rather than viewing retirement as a finish line, they discuss how creating more margin, rest, and intentionality throughout life can lead to greater fulfillment today while also preparing for tomorrow. Along the way, they unpack the emotional side of stepping away from work, why many high achievers struggle to slow down, and practical ways anyone can begin adopting a "sabbatical mindset"—even without taking an entire month off. What you'll learn in this episode: Why retirement is about much more than reaching a financial number. How a sabbatical provides a valuable "test drive" for retirement. The surprising benefits of creating more margin, rest, and reflection before burnout happens. Practical ways to build a sabbatical mindset—even if taking a month off isn't realistic. Why some of the richest retirement experiences have little to do with money and everything to do with relationships and intentional living. Mentioned on the Show YFP 079: Is It Time to Redefine Retirement? YFP Wealth Disclaimer The information in this episode is provided to you for your informational purposes only and is not intended to provide, and should not be relied on for, investment or any other advice. It should not be construed as a solicitation or offer to buy or sell any investment or related financial products. We urge listeners to consult with a financial advisor with respect to any investment. The information contained in our episodes is not updated and may not be accurate at the time you view it on this website. Opinions and analyses expressed herein are solely those of YFP Wealth (unless otherwise noted) and constitute judgments as of the dates published. Such information may contain forward-looking statements, which are not intended to be guarantees of future events. Actual results could differ materially from those anticipated in the forward-looking statements. YFP Wealth representatives may from time to time hold positions in, or take positions contrary to, investments mentioned herein. It should not be assumed that future performance of any specific investment or investment strategy (including those discussed herein) will be successful or profitable, or protect against loss. Past performance does not guarantee future results. All investments involve risks including the loss of principal. Learn more at https://yfpwealth.com/disclaimer/ 

We review a new library project in Oregon, learn about a system helping Swedish city-dwellers share and find out how to build sticky neighbourhoods.See omnystudio.com/listener for privacy information.

Every object, product, and place is designed for someone—but too often, that “someone” has been treated as male by default. In Man-Made: How We Designed a World That Leaves Women Out, and How We Can Make It Right, designer and former Nike Global Creative Director Karen Korellis Reuther shows how biased design can make daily life less comfortable, less dignified, and even less safe for women. Then, in Building for Everyone, Google's Annie Jean-Baptiste shows how inclusive design can create better products, better experiences, and a better world for more people.

What does it take to turn a self-published book into a traditional publishing deal? Science writer Siri Carpenter — executive director of The Open Notebook and author of The Craft of Science Writing — joins host Sarah Russo on The Publishing Playbook to break down her path from self-publishing to an expanded second edition with University of Chicago Press. Siri shares how she landed an agent after self-publishing, why course adoption became the key to her book's success, and the design decisions that helped it stand out. She also previews her newest project, The Best Science Stories and How They Work (also published by UCP), which features articles and annotations from Mary Roach, Ed Yong, and other leading science journalists. Plus: Siri's take on empathy as a core writing skill, how science writers can combat misinformation, and what she's currently reading, underwater! In this episode: Why Siri self-published The Craft of Science Writing before going the traditional route How course adoption drove sales and caught a publisher's attention The behind-the-scenes story of landing a University of Chicago Press deal What makes The Best Science Stories and How They Work different from a typical writing anthology Why empathy is essential in all good writing If you're a writer, editor, or aspiring author weighing self-publishing vs. traditional publishing, this episode is for you. Subscribe to The Publishing Playbook for new episodes every week. For more information on Siri's work, please visit The Open Notebook Books mentioned in this episode: “The Craft of Science Writing,” edited by Siri Carpenter “The Best Science Stories and How They Work,” edited by Siri Carpenter “A Sand County Almanac: And Sketches Here and There,” by Aldo Leopold “Why We Swim,” by Bonnie Tsui “You Are Here: Poetry in the Natural World,” by Ada Limón “The Sea Around Us,” by Rachel Carson Key Moments 00:57 — Why Siri Started The Open Notebook

Attention is no longer something leaders can assume.It must be intentionally designed.In this thought-provoking solo episode, Jay Doran examines one of the defining challenges facing organizations today: how to keep employees focused on creating value for customers in a world increasingly centered on individual identity, constant distraction, and rapidly shifting workplace expectations. Rather than viewing culture as something that simply emerges, Jay argues that culture is intentionally engineered through stories, language, rituals, symbols, and daily leadership behaviors that continually redirect attention toward a shared purpose. Building on previous conversations about culture as a leading indicator, Jay explores how organizations can balance individual fulfillment with collective mission without sacrificing either. As technology reshapes work, careers become increasingly fluid, and employees seek greater personal meaning, leaders must become architects of attention rather than managers of activity. In this episode, you'll discover:Why attention has become one of leadership's most valuable responsibilitiesHow stories and rituals reinforce culture more effectively than policies aloneThe growing tension between individual identity and organizational purposeWhy customer focus can erode when organizations become internally consumedThe importance of designing cultures that earn commitment rather than demand complianceHow mentorship, storytelling, and intentional gatherings strengthen organizational alignmentWhy large organizations naturally struggle to preserve innovation as they growThe relationship between leadership, trust, and information flowing throughout an organizationHow the future of work may reshape entrepreneurship, private markets, and organizational designThroughout the episode, Jay reflects on how businesses must adapt as employees seek greater ownership over their careers while organizations compete to retain exceptional talent. He argues that tomorrow's most successful leaders won't simply optimize systems—they will intentionally create environments where attention flows outward toward customers, teammates, and meaningful contribution rather than inward toward distraction and fragmentation. This conversation challenges leaders to rethink one of the most overlooked questions in business:What is your organization teaching people to pay attention to?Because attention isn't accidental.It's designed—and wherever attention consistently goes, culture inevitably follows.

Neurodiversity, neuroinclusive design, workplace productivity, sensory environments, architecture, AI, and human behavior—discover how the spaces around us influence the way we think, feel, learn, and perform.In this eye-opening episode of The Raw Vibe Podcast, internationally recognized workplace strategist Kay Sargent joins Chuck Tuck to explore the growing importance of neuroinclusive design and why creating environments that support different ways of thinking benefits everyone—not just neurodivergent individuals.Together, they discuss how lighting, acoustics, sensory triggers, architecture, workplace flexibility, and even artificial intelligence are transforming the future of offices, schools, healthcare facilities, airports, public spaces, and our homes. Whether you're a business leader, educator, architect, designer, HR professional, parent, or simply someone interested in improving your own environment, this conversation will change the way you look at the spaces you experience every day.In this episode you'll learn:✔️ What neuroinclusive design really means✔️ How environments influence human behavior and cognition✔️ Why traditional workplaces often work against the human brain✔️ The hidden impact of sensory overload✔️ Practical ways to improve productivity and well-being✔️ How AI may create adaptive environments of the future✔️ Why choice and flexibility are becoming essential design principlesEpisode Chapters00:00 – Creating Neuroinclusive Workplaces02:49 – Understanding Neurodiversity and Its Impact05:36 – The Importance of Environment in Learning08:11 – Neuroaesthetics: How Spaces Affect Us10:49 – Designing for Choice and Comfort13:31 – Applying Neuroinclusive Design Beyond Workplaces16:10 – The Role of Technology in Reducing Anxiety18:58 – The Future of Public Spaces21:53 – Empowering Individuals Through Design24:29 – Understanding the True Asset: People and Environment28:29 – Designing Better Collaborative Workspaces34:30 – How AI Will Shape Future Work Environments42:12 – Living and Working with Intention44:48 – Personal Reflections from Kay SargentAbout Kay SargentKay Sargent is an internationally recognized workplace strategist, thought leader, and Director of Thought Leadership for Interiors at HOK. She is the author of Designing Neuro-Inclusive Workplaces and is widely known for advancing neuroinclusive design principles that create healthier, more productive, and more inclusive environments.Guest Resources

What does it take to turn a self-published book into a traditional publishing deal? Science writer Siri Carpenter — executive director of The Open Notebook and author of The Craft of Science Writing — joins host Sarah Russo on The Publishing Playbook to break down her path from self-publishing to an expanded second edition with University of Chicago Press. Siri shares how she landed an agent after self-publishing, why course adoption became the key to her book's success, and the design decisions that helped it stand out. She also previews her newest project, The Best Science Stories and How They Work (also published by UCP), which features articles and annotations from Mary Roach, Ed Yong, and other leading science journalists. Plus: Siri's take on empathy as a core writing skill, how science writers can combat misinformation, and what she's currently reading, underwater! In this episode: Why Siri self-published The Craft of Science Writing before going the traditional route How course adoption drove sales and caught a publisher's attention The behind-the-scenes story of landing a University of Chicago Press deal What makes The Best Science Stories and How They Work different from a typical writing anthology Why empathy is essential in all good writing If you're a writer, editor, or aspiring author weighing self-publishing vs. traditional publishing, this episode is for you. Subscribe to The Publishing Playbook for new episodes every week. For more information on Siri's work, please visit The Open Notebook Books mentioned in this episode: “The Craft of Science Writing,” edited by Siri Carpenter “The Best Science Stories and How They Work,” edited by Siri Carpenter “A Sand County Almanac: And Sketches Here and There,” by Aldo Leopold “Why We Swim,” by Bonnie Tsui “You Are Here: Poetry in the Natural World,” by Ada Limón “The Sea Around Us,” by Rachel Carson Key Moments 00:57 — Why Siri Started The Open Notebook

Are you tired of the relentless AI marketing hype but know you can't afford to ignore it? Discover how to stop blindly applying AI and start mastering it as a malleable "design material" to build impactful, user-centered services .It's time to stop buying into the stories big tech companies want us to believe about what Artificial Intelligence can and can't do. Slapping AI mindlessly onto every project doesn't just create bad user experiences. It can do real harm.To set a better example for the service design industry, host Marc sits down with Ovetta Sampson. With a resume that includes Director of UX for Machine Learning at Google and AI design leadership roles at Microsoft and Capital One, Ovetta doesn't just talk theory. She runs Right AI to help teams adopt AI safely, responsibly, and effectively. In this conversation, she breaks down exactly how to understand AI's unique properties, navigate its limitations, and mold it into exactly what you need.In This Episode:The Design Material Mindset: How to stop fearing AI and start shaping it like clay to get the outcomes you want.Steering the Machine: Practical techniques for guiding generic LLMs to reliably produce high-quality, specific results.The Context Crisis: Why understanding your users' real-world context is about to become more important than ever before.When "Wrong" Becomes Dangerous: Why AI will always make mistakes, and how to identify the exact point where those errors become harmful.Breaking the Model: Why you need to start "messing around" and intentionally trying to break AI tools to build your own grounded mastery.If you found value in this episode, please hit the Subscribe button on YouTube, Spotify, or Apple Podcasts so you never miss a conversation. Share this episode with a fellow service designer who needs to hear this!As always, enjoy, and keep making a positive impact!~ Marc[ 1. GUIDE ]00:00 Intro and AI Sycophancy 03:15 Mindless vs. Mindful AI 06:45 Dangers of Automation Bias 10:00 The Humanizing Trap 17:45 Design as a Verb 24:30 Emergent AI Behavior 27:30 AI Confidence Levels 36:15 The Illusion of AI Memory 39:00 Principle 1 of Mindful AI 43:30 Library vs. Netflix Analogy 49:45 Designing for Failure 55:15 The Socio-Technical Challenge 01:01:45 Advice for Designers 01:06:00 Learning Resources 01:09:00 Redefining the Designer 01:11:15 Outro [ 2. LINKS ]LinkedIn - https://www.linkedin.com/in/ovettasampson/ MindfulAI Masterclass: https://www.ovetta-sampson.com/mindfulai-masterclass[ 3. CIRCLE ]Join our private community for in-house service design professionals. ⁠https://servicedesignshow.com/circle [4. FIND THE SHOW ON]Youtube ~ https://go.servicedesignshow.com/259-youtube Spotify ~ https://go.servicedesignshow.com/259-spotify Apple ~ https://go.servicedesignshow.com/259-apple Snipd ~ https://go.servicedesignshow.com/259-snipd

What does it take to turn a self-published book into a traditional publishing deal? Science writer Siri Carpenter — executive director of The Open Notebook and author of The Craft of Science Writing — joins host Sarah Russo on The Publishing Playbook to break down her path from self-publishing to an expanded second edition with University of Chicago Press. Siri shares how she landed an agent after self-publishing, why course adoption became the key to her book's success, and the design decisions that helped it stand out. She also previews her newest project, The Best Science Stories and How They Work (also published by UCP), which features articles and annotations from Mary Roach, Ed Yong, and other leading science journalists. Plus: Siri's take on empathy as a core writing skill, how science writers can combat misinformation, and what she's currently reading, underwater! In this episode: Why Siri self-published The Craft of Science Writing before going the traditional route How course adoption drove sales and caught a publisher's attention The behind-the-scenes story of landing a University of Chicago Press deal What makes The Best Science Stories and How They Work different from a typical writing anthology Why empathy is essential in all good writing If you're a writer, editor, or aspiring author weighing self-publishing vs. traditional publishing, this episode is for you. Subscribe to The Publishing Playbook for new episodes every week. For more information on Siri's work, please visit The Open Notebook Books mentioned in this episode: “The Craft of Science Writing,” edited by Siri Carpenter “The Best Science Stories and How They Work,” edited by Siri Carpenter “A Sand County Almanac: And Sketches Here and There,” by Aldo Leopold “Why We Swim,” by Bonnie Tsui “You Are Here: Poetry in the Natural World,” by Ada Limón “The Sea Around Us,” by Rachel Carson Key Moments 00:57 — Why Siri Started The Open Notebook

What does it take to turn a self-published book into a traditional publishing deal? Science writer Siri Carpenter — executive director of The Open Notebook and author of The Craft of Science Writing — joins host Sarah Russo on The Publishing Playbook to break down her path from self-publishing to an expanded second edition with University of Chicago Press. Siri shares how she landed an agent after self-publishing, why course adoption became the key to her book's success, and the design decisions that helped it stand out. She also previews her newest project, The Best Science Stories and How They Work (also published by UCP), which features articles and annotations from Mary Roach, Ed Yong, and other leading science journalists. Plus: Siri's take on empathy as a core writing skill, how science writers can combat misinformation, and what she's currently reading, underwater! In this episode: Why Siri self-published The Craft of Science Writing before going the traditional route How course adoption drove sales and caught a publisher's attention The behind-the-scenes story of landing a University of Chicago Press deal What makes The Best Science Stories and How They Work different from a typical writing anthology Why empathy is essential in all good writing If you're a writer, editor, or aspiring author weighing self-publishing vs. traditional publishing, this episode is for you. Subscribe to The Publishing Playbook for new episodes every week. For more information on Siri's work, please visit The Open Notebook Books mentioned in this episode: “The Craft of Science Writing,” edited by Siri Carpenter “The Best Science Stories and How They Work,” edited by Siri Carpenter “A Sand County Almanac: And Sketches Here and There,” by Aldo Leopold “Why We Swim,” by Bonnie Tsui “You Are Here: Poetry in the Natural World,” by Ada Limón “The Sea Around Us,” by Rachel Carson Key Moments 00:57 — Why Siri Started The Open Notebook

What does it take to turn a self-published book into a traditional publishing deal? Science writer Siri Carpenter — executive director of The Open Notebook and author of The Craft of Science Writing — joins host Sarah Russo on The Publishing Playbook to break down her path from self-publishing to an expanded second edition with University of Chicago Press. Siri shares how she landed an agent after self-publishing, why course adoption became the key to her book's success, and the design decisions that helped it stand out. She also previews her newest project, The Best Science Stories and How They Work (also published by UCP), which features articles and annotations from Mary Roach, Ed Yong, and other leading science journalists. Plus: Siri's take on empathy as a core writing skill, how science writers can combat misinformation, and what she's currently reading, underwater! In this episode: Why Siri self-published The Craft of Science Writing before going the traditional route How course adoption drove sales and caught a publisher's attention The behind-the-scenes story of landing a University of Chicago Press deal What makes The Best Science Stories and How They Work different from a typical writing anthology Why empathy is essential in all good writing If you're a writer, editor, or aspiring author weighing self-publishing vs. traditional publishing, this episode is for you. Subscribe to The Publishing Playbook for new episodes every week. For more information on Siri's work, please visit The Open Notebook Books mentioned in this episode: “The Craft of Science Writing,” edited by Siri Carpenter “The Best Science Stories and How They Work,” edited by Siri Carpenter “A Sand County Almanac: And Sketches Here and There,” by Aldo Leopold “Why We Swim,” by Bonnie Tsui “You Are Here: Poetry in the Natural World,” by Ada Limón “The Sea Around Us,” by Rachel Carson Key Moments 00:57 — Why Siri Started The Open Notebook

I'm sharing what it really looks like to run a multi-six-figure business while protecting quality time with my children.From rebuilding my life as a single mum to learning how to use tiny pockets of time well, this episode is about creating a business that can hold real life, not one that expects you to behave like a productivity robot.We'll talk about prioritising the work that genuinely moves your business forward, asking for support, lowering expectations where needed and designing your business around your life.The goal is not to stop dropping balls. It is to make sure one dropped ball does not bring everything crashing down.Highlights:(01:38) - Why I refused to build success at the expense of my children(04:08) - How rock bottom revealed my resilience(05:16) - Learning to focus on the 20 per cent that truly matters(07:32) - Why constraints can create clarity instead of stress(10:53) - Designing your business around your real life(17:19) - Building a business that survives the occasional dropped ballTo find out more:WebsiteInstagram(FREE) THE CUSHY WORK WEEK PLAYBOOKThis podcast is proudly produced by Wavemakers Audio

Break through your keto or low-carb plateau. Book a free call with Robert Sikes: https://www.ketobodybuilding.com/callThis man runs 200 miles on a low-carb diet, and his results challenge the high-carb rules of endurance racing. In episode 905 of the Savage Perspective Podcast, host Robert Sikes talks with ultrarunner Mike McKnight about keto endurance, fat adaptation, and ultramarathon fueling. Mike shares how eating more carbs led to swelling, water weight, stomach trouble, and uneven results. He explains why he returned to low-carb foods, electrolytes, and fasted training. They also cover his zero-calorie 100-mile run, the Tahoe 200 injury that sent him to the hospital, hydration, sodium, recovery, and the strategy needed to race for days. See why the best fuel plan may be personal.Follow Mike on IG: https://www.instagram.com/mikejmcknight/Get Keto Brick: https://www.ketobrick.com/Subscribe to the podcast: https://open.spotify.com/show/42cjJssghqD01bdWBxRYEg?si=1XYKmPXmR4eKw2O9gGCEuQChapters0:00 - How a Tahoe 200 Head Injury Ended the Race4:00 - What 550 Racing Miles Did to His Legs6:08 - Why Mike McKnight Chose Italy After Tahoe 2008:14 - Why 200-Mile Races Favor Fat-Adapted Athletes10:20 - How Many Carbs Does an Ultramarathoner Really Need?14:17 - What Does a Low-Carb Ultrarunner Eat in a Day?16:50 - How Much Carbohydrate Do Endurance Athletes Eat?18:20 - Why Carbs Caused 8 Pounds of Water Weight20:28 - What Happens When You Run 100 Miles Fasted?25:39 - Do Ultramarunners Need Carbs for a Higher Gear?29:23 - Why Keto Endurance Fuel Is So Hard to Find32:09 - How to Balance Sodium, Potassium, and Water37:03 - Why 200-Mile Races Are a Strategy Game38:31 - How Do Backyard Ultras Work?41:54 - How to Choose the Right Trail Running Shoes44:21 - How Fatherhood Changes Extreme Endurance Racing48:38 - Why Truett Hanes Is Shaking Up Marathon Running50:37 - Why Cam Hanes' BPC-157 Use Sparked Backlash51:51 - How a Woman Broke the Cocodona 250 Course Record53:39 - Does VO2 Max Reveal Fat-Burning Efficiency?55:19 - Can You Keep Muscle While Training for an Ultramarathon?1:02:14 - Designing a Better Low-Carb Ultrarunning Fuel1:03:22 - How to Fuel an 800-Mile Arizona Trail FKT1:06:51 - Where to Follow Mike McKnight

⚡️Click Here To Text Monique!This week, Monique walks us through how she designed her July slowdown and worked at 30% capacity on purpose.She shares why the pause was not about burnout, vacation, or checking out. It was about making room to think, create, rest, play, and reset before life and work became too full again.Monique also talks about the fears that can come up around rest, including the fear of losing money, momentum, reputation, or progress. She explains why pausing does not have to mean losing something and how planning ahead can make rest feel safer and more supported.As she breaks down how she planned the month, Monique shares the role of vision, clear expectations, blackout dates, boundaries, and choosing what truly belongs on the calendar. She also offers practical ways to decide what stays, what moves, and what can wait.This episode is a clear reminder that you do not need a perfect setup to design a pause. You can start by deciding what the space is for, protecting it with intention, and allowing yourself to make room for what your mind, body, and life are asking for.GEMS DROPPED“​We ​talk ​about ​giving ​ourselves ​permission ​to ​do ​things. ​And ​I ​think ​that ​the ​permission ​comes ​once ​we ​believe ​that ​we ​deserve ​it ​or ​that ​something ​is ​actually ​a ​necessity ​to ​us, ​and ​that ​we ​can ​have ​it.”“Pausing for me is not about just doing nothing. It's just making room for what matters.”“You do need to start with a vision. Your vision, the vision you set for yourself is really the anchor, and it's what allows you to say no, without flinching. It's ​what ​allows ​you ​to move ​with ​a ​lot ​more ​confidence”“You ​can ​design ​whatever ​you ​want ​and ​need ​for ​yourself. You ​don't ​need ​a ​perfect ​setup. It's ​a ​generative ​exercise. ​It's ​about ​cultivating ​something ​important ​within ​yourself ​and ​in ​your ​life, ​and ​you ​can ​give ​yourself ​over ​to ​it ​and ​then ​decide ​what ​it's ​for ​for ​you ​and ​protect ​it.“​STAY IN TOUCHCome and follow me on Instagram @moniquershields and I would love your feedback so send an email to ambition@moniquershields.com. 

In this episode, Greg sits down with Allison Wyatt to explore how nonprofit compensation systems can unintentionally reinforce inequity—and what leaders can do about it. They discuss why percentage-based raises often widen pay gaps, where bias can creep into compensation decisions, what today's leaders need to know about pay transparency, and practical strategies for creating clearer, more equitable pay structures that support both employees and organizational mission.

In this episode of LIGHT TALK, The Lumen Brothers and Sister discuss everything from Starting a Career as an Educator to the "Margarita-To-Go Man". Join Ellen, Dennis, and Steve, as they discuss: How can you be assured that the CRI rating in LED's will produce an accurate color; Designing the "Perfect Light"; TM-30 vs. CRI; How to market yourself as a programmer; The skills that separate the great from the good programmers; "The Stagehand Flashlight"; How to start a career as an educator; and A Sophomore's Tale of Woe. Nothing is Taboo, Nothing is Sacred, and Very Little Makes Sense. @lighttalkpodcast

We dive deep into the future of construction: Design for Deconstruction (DfD) and the Circular Economy. Instead of swinging wrecking balls and dumping tons of waste into landfills, what if we designed buildings to be taken apart, repurposed, and regenerated?Jill and Leslie break down how Three Squared is challenging convention. We discuss the perks of DfD for developers to real-world examples like preserving historic barns and panelized core systems. Plus, we get into the nitty-gritty of Mass Timber funding, navigating regulatory hurdles, and why "material passports" could completely change the USA building industry.Episode Highlights:Why should we be designing buildings to be taken apart and reused, not dumped in landfills?How "Design for Deconstruction" (DfD) increases long-term profits for developers.Navigating the financial proformas, US funding hurdles, and regulatory gaps.What is a "material passport”? Lessons from historic barn preservation to panelized core systems built for easy repair.View the full show notes for Episode 83.Ready to move forward with your project? Contact us here and we will put you in contact with the right member of our team. Make sure to follow us on Instagram, Facebook, and LinkedIn to stay up to date on new project releases, trainings, and more. 

On this episode of the Harvest Series, host Rose Claverie sits down with explorer and Blue Zones creator Dan Buettner to explore what really helps people live longer, healthier lives. After decades studying the world's longest-living populations, Dan argues that longevity is less about supplements, discipline, or biohacking and more about environment, social connection, movement, purpose, and community.The conversation explores modern society, processed food, loneliness, urban design, capitalism, faith, friendship, happiness, and aging. Dan explains why healthy environments shape healthy behavior more effectively than willpower ever can and why governments and cities play a major role in public health outcomes. The episode also examines purpose, family, meaningful relationships, and how modern life quietly disconnects humans from the conditions they evolved for.Dan also reflects on parenting, legacy, curiosity, and his future work redesigning cities around Blue Zone principles. This is a conversation about longevity, but also about creating lives that feel more connected, meaningful, and human.Chapters00:00 Introduction to Dan Buettner00:52 Imagination and exploration02:02 Why modern life is going in the wrong direction03:20 The lessons of the Blue Zones04:16 Stop changing behavior, change environment05:05 Neighborhoods and life expectancy06:24 Can governments create new Blue Zones?07:55 Food systems, capitalism, and responsibility10:13 Government policy and public health11:09 Faith, friendship, and longevity13:31 Freedom, discipline, and social structures14:50 Governments, health, and regulation16:51 Food or friendship: what matters more?17:25 Reflections on Shaka Senghor19:28 George Plimpton and changing his life20:35 Feeling different and curiosity21:08 Visiting the Blue Zones22:39 Living in Ikaria23:14 Wine, pleasure, and joy in longevity25:18 Plant medicine and altered states25:43 The secret to healthy skin26:21 AI and the future of longevity27:15 Aging, happiness, and emotional wellbeing28:01 What creates a “dark zone”?28:38 Legacy and raising children29:48 How to end things gracefully30:15 Beau Lotto's question about action31:05 Purpose, values, and meaning32:47 Curating your social circle34:01 Why people don't act on good advice35:35 Question for Michael Pollan36:11 New Blue Zones and future projects37:04 Designing healthier cities37:32 Closing reflectionsThis season of the Harvest Series podcast is made possible by Spark of Light. To learn more, visit: https://sparkofsouls.com/You can follow us on Instagram at @HarvestSeries or @rose.claverie for updates.Watch our podcast episodes and speaker sessions on YouTube: Harvest Series.Credits:Sound editing by: @lesbellesfrequencesTechnician in Kaplankaya: Joel MoriasiMusic by: ChambordHarvest Series is produced in partnership with Athena Advisers and Capital PartnersHarvest Series Founders: Burak Öymen and Roman Carel

A farmer in rural Ghana can use her phone to take a picture of a blighted leaf, upload it, and within seconds she gets a diagnosis that takes account of the soil, the weather, and the other local conditions. Score one for AI. We don't have enough human experts because they are hard to train, and harder still to retain, so apps like this have huge potential. But it doesn't mean they will succeed.Iqbal Dhaliwal, global executive director at J-PAL, has watched ambitious tech dreams for development fall apart before. Remember one laptop per child, the plan that failed because schools didn't have technical support, the right lesson plans -- or even electricity? He tells Tim Phillips that AI can succeed, as long as whoever is using it has thought through the theory of change, designs for impact rather than downloads, and can scale up successful experiments. J-PAL has launched the AI Evidence Playbook to help policymakers solve these knotty problems.The research behind this episodeDhaliwal, Iqbal, Sam Carter, Attaullah Abbasi, and Audrey Lorvo. 2026. AI Evidence Playbook: A Practical Guide. Cambridge, MA: Abdul Latif Jameel Poverty Action Lab (J-PAL).To cite this episodePhillips, Tim, and Iqbal Dhaliwal. 2026. "How AI can put 20 years of development evidence to work." VoxDev Talks (podcast).About the guestIqbal Dhaliwal is global executive director of the Abdul Latif Jameel Poverty Action Lab (J-PAL), based at MIT, and co-chairs Project AI Evidence. He co-directs J-PAL's South Asia office with Esther Duflo. Before joining J-PAL in 2009 he served in the Indian Administrative Service, where he ran a statewide welfare department and led a public company, delivering large-scale programmes in the field. His work spans the design, evaluation, and scale-up of anti-poverty programmes, and the question of when a technology genuinely changes lives rather than dashboards.Research and concepts cited in this episodeProject AI Evidence (PAIE) is J-PAL's initiative to identify, evaluate, and scale applications of AI for social good, and to scale down those that may cause harm. The AI Evidence Playbook is its practical output, a reference for policymakers, practitioners, and donors weighing whether and how to adopt AI-enabled programmes.The six pathways. The playbook groups two decades of development evidence into six areas where AI could raise impact or cut cost: improving needs prediction and targeting; increasing access to personalised, timely support; maximising the effectiveness of frontline service providers; improving organisational and programmatic efficiency; reducing bias and ensuring fairness; and boosting government resource mobilisation, including more progressive taxation.Machine learning targeting in Togo. During the Covid-19 pandemic, Togo's government wanted to reach its poorest households but lacked the administrative data to find them. Researchers used satellite imagery to identify likely-poor neighbourhoods from features such as house size and roof quality, then paired it with mobile phone records to narrow down poorer individuals within them; a practical, rapid way to fill a data gap without a social registry.Theory of change. The sequence of steps connecting an input to a final outcome. Dhaliwal's point is that most people hold an optimistic hypothesis rather than a theory of change: the inputs and the hoped-for outcome are clear, but the intermediary links, adoption, trust, workflows, repair, are missing. Writing it on paper is where the gaps show.Design for impact, design for scale. Engagement numbers and downloads are a first step, not proof of impact. Designing for scale means designing for a farmer who may lack a device, may lack reliable connectivity, and may not trust the technology without the extension worker they have known for fifteen years.One laptop per child, and smokeless stoves. Dhaliwal raises both as technologies whose theory of change was sound but whose delivery was not thought through: the school system could not absorb the laptop, the electricity and connectivity were not there, and no one planned for breakage. The relevant cautionary parallel for AI, whose problems he argues are not just inherited but exacerbated by the pace of change.Global knowledge, local context. Dhaliwal separates rules that can be changed from genuine context differences. A programme that works in India but "won't work in Ghana" because teachers there work six hours rather than six hours fifteen minutes is a rule problem, and solvable. A classroom of 1:20 versus 1:60 is a real contextual difference worth worrying about.More VoxDev Talks episodesThe development economics of AI: Lessons and questions. Oliver Hanney and Deena Mousa take stock of what an entire series of conversations revealed about where AI helps in development, and where the evidence runs thin.Related reading on VoxDev.orgAI and development economics: Early evidence and how to keep up, a running VoxDev reading list on the impacts of AI in low- and middle-income countries that includes J-PAL's AI Evidence Playbook among its resources.

In this episode, host Matt Rogers and co-host Dr. Brian McCraw talk with Shara Bumgarner, cofounder of Houston's Joy School, and architect Janann Pittman of Jackson & Ryan Architects about creating a K-8 school built for kids with learning differences. From the school's humble start with four students in 1997 to its thoughtfully designed campus today, Shara and Janann unpack how intentional design - down to door handles and bathroom stalls - can turn a school into a true second home. They dig into individualized instruction, the "it depends" philosophy, and why joy, not just remediation, should be at the heart of every learning space. Takeaways: No one-size-fits-all - Kids are grouped by specific learning needs, not grade level or diagnosis. Design follows philosophy - Spaces are built around flexibility and the school's culture, not just function. Details matter - Even door handles and toilet flushes were chosen to ease student anxiety. Safety enables learning - An anxious brain can't learn, so comfort comes first for kids and parents alike. Joy beats survival - Disco balls and dance parties aren't extras - they're core to helping kids truly thrive.   About Shara Bumgarner: Shara Bumgarner co-founded The Joy School in 1997 and has been our Head of School since 2002. Shara's inspiration for starting The Joy School stemmed from witnessing bright students with learning differences and disabilities slip through the cracks in public school because of a lack of understanding of such students. Shara is committed to providing the most optimal, joyful environment for students and teachers with an emphasis on embracing individual differences. Starting The Joy School changed her life as an educator, and she hopes to have that same impact on each student, parent and teacher at the School. Outside of school, Shara focuses on her family, which includes her supportive husband and three daughters. Link to Shara's LinkedIn account - Link Link to The Joy School Website - Link   About Janann Pittman, AIA: For over 35 years, since her first K-12 and higher education projects, Janann has been passionate about institutional and educational architecture that reinforces and expands communities, and impacts children of all ages. As a Principal with Jackson & Ryan Architects, Janann is licensed in multiple states, with education projects from Pennsylvania to Texas. Janann seeks to understand her unique clients and their communities, so her designs reflect them and serve them in highly personal ways.  Janann comes from a family of educators and has served on numerous PTO boards and committees for her sons' schools, on the Rice University Alumni Board, and was a founding board member of Books Between Kids.  While Janann loved her time at Rice University, she is most enthusiastic about her middle school years at Shoreham-Wading River Middle School. Named a Blue Ribbon School the first year the award was given, Janann loved the fabulous arts and community service programs, and the focus on interdisciplinary projects, in smaller neighborhood communities. And, the amazing school even had goats! Link to Janann's LinkedIn account - Link Link to Education portion of JRA web site  Link to JRA education web page Link to Jackson & Ryan Architects Education brochure Link to Design for Education brochure   Episode 345 of the Better Learning Podcast For more information on our partners: Association for Learning Environments (A4LE) - https://www.a4le.org/ Education Leaders' Organization - https://www.ed-leaders.org/ Second Class Foundation - https://secondclassfoundation.org/ EDmarket - https://www.edmarket.org/ Catapult @ Penn GSE - https://catapult.gse.upenn.edu/ Want to be a Guest Speaker? Request on our website      

Charlie Deets (https://x.com/charliedeets) has designed Safari, Arc, and now Dia…Needless to say he knows a thing or two about designing browsers

Why do some homes feel timeless while others look dated within a few years? Annie Meyers-Shyer—the creator behind @thisoakhouse, former Chanel and Harper's Bazaar PR executive, and daughter of legendary filmmaker Nancy Meyers—joins Molly and Emese to share the design philosophy that's made millions fall in love with her approach to interiors. Annie explains how documenting her own family renovation unexpectedly led to a bestselling design book, then shares the practical advice every homeowner should know: how to build mood boards that actually work, why she always asks "Will I love this in 10 years?", how to find a contractor you can trust, why every room needs something old, and why she refuses to color match paint. Whether you're renovating an entire house, refreshing one room, or simply want your home to feel more like you, this episode is packed with timeless design advice you'll come back to again and again. A Sony Music Entertainment production.  Find more great podcasts from Sony Music Entertainment at sonymusic.com/podcasts and follow us at @sonypodcasts  To bring your brand to life in this podcast, email podcastadsales@sonymusic.com Mentioned in the Episode: https://shopmy.us/shop/collections/6559308  Learn more about your ad choices. Visit podcastchoices.com/adchoices

When NASA astronauts return to the moon, they'll be wearing a new spacesuit from Axiom Space. Plus, SpaceX and the U.S. are facing concerns after a land swap deal in Texas brings up environmental concerns.

Research suggests we spend close to 90% of our lives indoors. While we all need more time outside, there's another part of the solution: designing the places where we live and work to better support our health and wellbeing.In this episode, Monica Olsen sits down with two of the UK's leading voices in biophilic design: Oliver Heath, an expert in regenerative and wellbeing-led design for the built environment, and Dr. Vanessa Champion, founder of the Journal of Biophilic Design and host of the podcast of the same name.Together, they explore how thoughtfully designed spaces can improve our physical and mental wellbeing, the formative project that first inspired Oliver to connect nature with health, why diverse minds need diverse spaces, the exciting innovations emerging in fields like biomimicry, and the growing body of evidence demonstrating the value of biophilic design.Whether you're an architect, designer, developer, or simply curious about creating healthier places, this conversation offers an inspiring look at how nature can transform the built environment—and the people who inhabit it.Show NotesOliver Heath DesignJournal of Biophilic DesignJournal of Biophilic Design PodcastOliver Heath Design: Case StudiesDesign a Healthy Home: 100 Ways To Transform Your Space For Physical and Mental Wellbeing by Oliver HeathBiophilic design, regenerative design, nature-inspired design, wellbeing, healthy buildings, healthy spaces, built environment, sustainable design, architecture, interior design, biomimicry, biophilia, wellness design, environmental psychology, human-centered design, natural materials, natural light, biodiversity, placemaking, Oliver Heath, Vanessa Champion, Journal of Biophilic Design, design innovation, resilient communities, wellbeing-led design, people and planetBiophilic Solutions is available wherever you get podcasts. Please listen, follow, and give us a five-star review. Follow us on Instagram and LinkedIn and learn more on our website. #NatureHasTheAnswers

This week, host Daniel Raimi brings Ishan Sharma on the podcast to discuss the beginnings of the geologic hydrogen industry. Sharma, director and founder of a fund at Renaissance Philanthropy that seeks to grow hydrogen into a competitive energy provider, draws upon the trajectories of sectors such as oil and gas—and newer additions, like geothermal energy—to argue that with enough investment, the abundant hydrogen gas trapped beneath the Earth's surface could be a major player in the energy game. As hydrogen is a natural output of common chemical reactions, such as the interaction of iron and water, there's no shortage of the resource; the issue is how to find it. While interest in geologic hydrogen is ramping up, the industry faces feasibility issues related to incomplete public information, lack of understanding about the subsurface world, and regulatory voids—however, Sharma believes this low-carbon source has a bright future. References and recommendations: Chimaera Fund; https://www.renaissancephilanthropy.org/chimaera-fund “Designing a Life That Matters” episode of the “Hidden Brain” podcast; https://www.hiddenbrain.org/podcast/designing-a-life-that-matters/ “Odd Lots” podcast from Bloomberg; https://www.bloomberg.com/oddlots “Ministry for the Future” book; https://www.hachettebookgroup.com/titles/kim-stanley-robinson/the-ministry-for-the-future/9780316300162/ Subscribe to stay up to date on podcast episodes, news, and research from Resources for the Future: https://www.rff.org/subscribe/

There are roughly 100x more people who use code than who can write code. As code that “just works” becomes easier to generate, this group may be the biggest prize of all — if you can get the agentic interface right.A key trend we have been tracking over at AINews is the absolute explosion in Codex usage this year, with MAU now up >10x from Jan 2026. Less than two weeks after their July 9th launch, OpenAI said ChatGPT Work and Codex had reached 10M users combined (as we cover in the pod, Codex now powers ChatGPT Work, so all ChatGPT Work users are now users of the Codex harness, even if they aren't traditional engineers) — showing the early innings of what happens when you graduate from coding agents to knowledge work agents:We've been calling out how coding agents are “breaking containment” to do everything else this year to power every other part of knowledge work - and it started with the org chart, with a major reorg last month that amounted to two of Codex's most prominent leaders, Greg and Tibo, taking responsibility over product and ChatGPT specifically, completing a “Superapp” consolidation cycle first discussed in March.With these updates Codex is no longer just a coding tool. In June, OpenAI said knowledge workers already accounting for roughly 20% of Codex's user base and growing more than 3x as quickly as developers. A product dedicated for knowledge workers was being pulled out of the Codex team.However, knowledge work has a different set of problems and environments than coding. For decades, knowledge work has been scattered across different primitives like documents for writing, spreadsheets for analysis, slide decks for communication, and specialized applications for everything else. ChatGPT Work now enables users to work across every primitive with agents. Instead of opening an application and manually operating its features, the user can describe an outcome and collaborates with an agent that can assemble the tools, context, and artifact needed to reach it.From building no-code products at Airtable to leading Productivity Engineering at OpenAI, Akshay Nathan has spent much of his career trying to make the power of software accessible to people who do not write code. In this episode, Akshay joins swyx and Vibhu to unpack the launch of ChatGPT Work, why Codex unexpectedly took off among non-developers inside OpenAI, and the company's broader plan to bring useful agents from software engineers to knowledge workers and eventually everyone.We go deep on the shared agent harness behind Codex and ChatGPT Work, why OpenAI brought the experiences together without making them identical, and how persistent computers, artifacts, Sites, plugins, memory, and sub-agents are changing what people can delegate to AI. Akshay explains why some teams are replacing decks and spreadsheets with interactive websites, how agents can gather context across code, Slack, documents, and local files, and what OpenAI learned from personal-agent products like OpenClaw.Side note: also don't miss Abhihek's sandbox track keynote at AIE, which now powers a lot of the sandboxing for ChatGPT Work… and yes was also broken by an unreleased OpenAI model in the recent HuggingFace incident.Akshay also reflects on how AI is transforming product development itself: why more people will become generalists with a specialty, why ideas and taste become the bottlenecks when almost anyone can build, why LLMs still struggle to generate genuinely grounded new ideas, and why teams must distinguish increased motion from actual progress.We discuss:* Why Codex unexpectedly took off among non-developers inside OpenAI* Why employees felt like using Codex gave them a new superpower* The product insight that led OpenAI to build ChatGPT Work* Why Codex and ChatGPT Work share the same underlying agent harness* How their UX, Git visibility, artifacts, and sandboxing defaults differ* Why OpenAI merged its agent experiences instead of building separate products* How AI is blurring the boundaries between engineering, design, strategy, and operations* Why OpenAI wants the default model configuration to work for most users* When power users should use deeper reasoning, Ultra, or multi-agent modes* Artifacts, agentic spreadsheets, and creating high-fidelity work products* Why interactive Sites may replace decks and spreadsheets* The challenge of designing a simple interface for an agent that can build almost anything* Why users should retry tasks that models could not handle three or six months ago* How AI can gather context for performance reviews without replacing human judgment* The OpenAI automation that turns internal Slack and document activity into memes* What reaching ten million ChatGPT Work and Codex users means for the product* How OpenClaw inspired persistent environments, scheduled tasks, and personal agents* Using ChatGPT for financial planning, budgeting, workouts, meals, and household management* The design tradeoffs behind sub-agents and how much of their work users should see* ChatGPT memory, Chronicle, and long-term context* Why AI may make more people generalists with deep specialties* Why ideas and taste become more important when almost anyone can build* Why LLMs still struggle with the instruction “bring me new ideas”* Measuring productivity through quality at-bats instead of commits, tokens, or pull requests* The critical difference between AI-generated motion and meaningful progressAkshay Nathan* LinkedIn: https://www.linkedin.com/in/akshaynathan/* X: https://x.com/akshaynathan_Timestamps00:00:00 Introduction and Bringing the Power of Code to Everyone00:01:33 Joining OpenAI and Preserving a Startup Culture00:02:40 What OpenAI Learned from Enterprise AI Adoption00:05:28 Why OpenAI Built ChatGPT Work00:07:17 Codex vs. ChatGPT Work and the Shared Agent Harness00:12:07 Why OpenAI Merged Its Agent Experiences00:16:24 Models, Reasoning Levels, and Choosing the Right Default00:20:26 Artifacts, Agentic Spreadsheets, and Model–Product Collaboration00:24:22 Why Sites Could Replace Decks and Spreadsheets00:30:08 Designing an Agent That Can Build Almost Anything00:34:28 From Developer Agents to Knowledge Work—and Everyone00:36:07 Power-User Advice and AI-Assisted Performance Reviews00:40:41 OpenAI's Internal AI Memes and the Ten-Million-User Launch00:44:39 OpenClaw, Personal Agents, and ChatGPT as an Operating System00:50:24 Sub-Agents, Ultra Mode, and How Much Control Users Need00:54:39 ChatGPT Memory, Personalization, and Chronicle01:00:19 How AI Is Reshaping Product Development and Tech Roles01:03:15 Ideas, Taste, and Why LLMs Struggle to Generate New Ideas01:04:42 Measuring Productivity, Quality At-Bats, and Motion vs. ProgressTranscriptIntroduction: Akshay Nathan, ChatGPT Work, and the No-Code ArcSwyx [00:00:00]: We're here in the studio with Akshay from OpenAI. Welcome.Akshay Nathan [00:00:07]: Thank you.Swyx [00:00:08]: And with our trusty co-host, Vibhu. So you recently launched ChatGPT Work. You lead Core Product Engineering. It's been a long journey, into all this. I find it very interesting that you started with no code or low code, with Walrus and Airtable. And to some extent, ChatGPT Work is like the super app of super apps of, well, here is the ultimate no code. You just write a prompt.Akshay Nathan [00:00:32]: Yeah. It's funny how things come, full circle. I think for a long time in my career, I started my career working consumer fintech, but then after that, like, there's this hypothesis that, the things that we were able to do with code, like, as engineers, like, if we could bring that to many more people in a more, accessible way, then that would be truly magical. We were working on a startup. It's funny, like, before LLMs, before vision LLMs, on how to do automated testing with AI. It was just kinda jank, back then, but doing what we can, and then worked at Airtable for a while on the same thesis that, like, if we can bring a database or the primitives behind a database to people, that'd be really useful to them. But once LLMs came onto the scene, it became clear that, this was the missing piece, like, the missing technology required to, like, bring the magic of code to everyone without them having to know what's going on underneath the hood. And so, like, I think this launch and a lot of the stuff that we've been up to is, like, the manifestation of that.From Walrus and Airtable to OpenAIVibhu [00:01:33]: How was stuff when you joined? So you joined OpenAI 2023. Now we've got, so much more stuff, so ChatGPT, Codex app, ChatGPT Work. Have things changed?Joining OpenAI and What Hasn't ChangedAkshay Nathan [00:01:44]: I think the more interesting thing is how things haven't changed. Like, one, I joined I remember when I joined, it was, like, five hundred people. One thing I was worried about was, like, I was looking for something, more early stage and, like, was it gonna feel startup enough? And I joined, and I was like, “This feels even more startup-y than I could ever imagine.” And, like, that really hasn't changed even till now. I think the, like, level of, like, bottoms-up ambition and, like, the ability of anyone to, like, do anything or have an idea and ship it is really cool. But on the, like, mission side, I think what was really compelling to me is this mission of, bringing frontier intelligence to everyone. Like, building AGI and then bringing it to everyone. And, I think acknowledging back then that, like, that vision is gonna, not be a linear progression. Like, we're probably gonna, like, try different products and have different things that succeed and don't. But the vision has stayed the same, and the mission has stayed the same, and we're starting to see the pieces, fall together, and that's really cool.Enterprise Lessons: No One-Size-Fits-All AISwyx [00:02:40]: You worked on Enterprise. What A lot of people never touch ChatGPT Enterprise. What is something that you learned from there that you're bringing into your work now?Akshay Nathan [00:02:52]: I think how there's no one-size-fits-all solution in Enterprise. I remember in the early days of ChatGPT Enterprise, like, when we talked to customers and, like, everyone. That was, like, when I think it was a year after ChatGPT was released, and everyone was so excited to bring, AI into their enterprise. And, there were all these teams being stood up. It was, like, the AI deployment team with, like, these enormous budgets. And if you asked anyone, like, what were they excited about? Like, what were they excited about solving? Like, at first, you'd get, like, kinda like the baseline answers of, like, “Yeah, we have all this context and data and all this stuff.” But then if you ask them, like, “What was, like, a discrete use case that, like, they want AI to enable in their workplace?” You get such a different, like, variance, like, explosion of, different types of answers. And it's interesting, like, you using, like, these models and these products, you have this box, and you can say anything to it, which is the magic. But it'on the flip side, it also means that, like, you don't know what to do with it. And in Enterprise, I think a big part of that is, like, meeting the users where they are, like, what use case were they trying to solve, and then teaching them how they can use AI to, like, gain leverage there.Swyx [00:03:56]: Do you meaningfully differentiate that from forward-deployed engineering?Akshay Nathan [00:04:01]: I think there is the go-to-market side of it and then there is the product side of it. I think you need someone on the product side. And I think, like, however good we get at FDE motion, like, I think at the end of the day, if we have a user who's, like, looking at their computer or looking at their phone, like, it's our job in the product to, like, be enabling them and showing them where to go. So we're really excited about that.Vibhu [00:04:24]: Do you think there's been changes, over the past three years of adoption? So there have been, step function changes. You have reasoning models and whatnot. Is there still the same problems of Enterprise has black box, don't know what to do with it, or have things changed?Adoption, Agents, and the Next 10x MarketAkshay Nathan [00:04:39]: We're seeing now that, like, there's this huge uptake, right? Everyone is extremely excited about it. It feels like, many people are, millions, hundreds of millions of people are using ChatGPT. They understand, like, how generally to work with AI. But then, like, every time, like, a new capability gets unlocked, so now, like, we're seeing with agents, like, there is probably a contingent of, like, early adopters still who, truly get it, who are like, “ we you can do anything. You just have to make sure the right context is there, it's connected to the right tools, and that you are supervising it, but, like, anything is possible.” But then there's, like, this, like, 10x or 100x bigger market where, like, they don't yet get that, or they don't yet see that. And so I think that's the next stage here. So to answer your question, like, I think the adoption is there and growing fast, but I think the opportunity is, like, far bigger than that. That's where we wanna play, especially with ChatGPT Work.ChatGPT Work, Codex, and the Super App MergeSwyx [00:05:27]: Yeah. well, let's, let's skip ahead to ChatGPT Work. only, like, a month ago or so, announced. what was the decision process that led into it? there was this, overall merging of the super app. Is that what we're officially calling it? you deprecated the browser as well. Just, summarize your last, like, couple months of working on this thing.Akshay Nathan [00:05:50]: Yeah. It feels like forever now, but it's only been a few months. I think maybe the one, impetus that, like- Is most salient is when we release Codex, or even internally had Codex, like, it was really surprising to us, I think we recently put out some stats on this, that there was this, like, real inflection of, like, adoption among non-developers at OpenAI. And, I, through this product development process, like, would go to, like, these UXR sessions to talk to people internally. And the thing that stuck out to me is, like, one, like, you go talk to, like, strategic finance or marketing or whatever, and they're all using Codex for, their use cases. That part's cool, but the thing that really stuck out to me is how proud people were that they were using Codex. Like, how, likeSwyx [00:06:34]: It's like, “I'm not supposed to be using it, but I am.”Akshay Nathan [00:06:36]: It was that. It was, like, that they were, early to this, like, new thing, but it was also this thing of, like, they felt like they had a superpower, right? And, what we recognized then is that, like, the power of Codex, the power of agents, like, we already had this massive distribution base of people who have, come to know and love ChatGPT. Like, how do we show that to them? Like, how do we bring it to them? Which is, like, a hard product problem, and it's, like, a tricky thing, right? There's many ways you can go about it. And so that's what we called the Merge and the Super App over time, and ultimately launched it in ChatGPT Work, is how do we do that? But it came from that initial realization that, like, the power was not only for developers, like, much earlier than probably even we thought. Like, it could be extended to everyone.Swyx [00:07:17]: How do you see the products differently? So, like, who is it for, right? So Codex started out even CLI, then app. Now there's a merge of ChatGPT Codex and ChatGPT Work, so is it the opening for the average user, for enterprise, for work? How do you position it?Akshay Nathan [00:07:36]: I think we want to get it to position it for if you're doing work-related things, for lack of a better word, right?Who ChatGPT Work Is ForAkshay Nathan [00:07:42]: I think productivity is what, like, the pillar that I support. Like, that's the name of the team. And the reason for that, the reason we call it productivity and not, like, enterprise or, like, work or something like that, is because there's also personal productivity, right? And, like, I think ChatGPT Work is I've seen people do things in their personal lives that you wouldn't classify as, like, work technically, but, like, these agents are, super capable for. Like, one recent example that someone posted about, on our Slack is, like, someone had, like, a missed package, like they didn't receive it, and then they got, like, the picture of it, from Amazon or whoever the courier was, and they, like, asked ChatGPT Work to, like, find out where that package is. And, like, the agent, is extremely tenacious and, like, took the image and, like, looked at a bunch of, like, listings around their neighborhood and figured out exactly the apartment complex in which the package was, like, gave them some information. And so, like, I think there's all these things that, like, you, work-related or productivity-related things, I think that's what we want the product to be. You asked about Codex. I think we think Codex is, a durable brand, but we have a principle that, like, the user we don't want a user to get stuck in a tab or an experience where they don't get the power of the product. And so, like, everything that you can do, in the Codex portion of the product on desktop, you can do in ChatGPT Work and vice versa. But we made some opinionated product decisions on, like, how much of the Git state, if you're in a Git repo, do we wanna expose to the end user? Or how much do we wanna make the experience of seeing the agents thinking, like, diff forward so that you get exposed to the diffs out of the box. And then, like, on the safety side, like, how do we wanna think about, like, sandboxing and making sure that we have the right defaults in one state versus the other? So, there's, like, some opinions that go behind that, but we do want We don't want the user to need to choose which experience they're in.Swyx [00:09:26]: That is a good goal for AGI, right? Like, people don't want, like, to hide to choose what version of AGI they want. They just want the AGI to decide for them. can I get an answer or, like It's not super clear to me. Is the Codex harness and the ChatGPT Work harness the same? Is it just UI affordances, or are there prompt level or even deeper differences?Shared Harness, Different UX: Codex vs. WorkAkshay Nathan [00:09:49]: So the harness is the same. The harness is shared. on In both of the products, we made improvements to the harness to make it good for knowledge work, especially as it relates to plug-ins or computer use or artifacts. You get that power regardless of which experience you're in. On the UX side, there's opinionated takes that we have when you're in Codex mode, what the UX should be how the UX should behave, and some stuff around the sandbox like I mentioned, but the underlying harness and capabilities should be the same.Swyx [00:10:16]: I'm just kinda curious. Maybe we can, -- Is there a query that we can run that would look different in the two modes?Akshay Nathan [00:10:23]: Yeah. I tried to create, like ask it to create, like, a retirement calculator spreadsheet or something, in both modes. And then in Codex mode, you might have to be in a repo for this, but you'll see, like, the diffs of, like, the sheet that it's creating and stuff like that, and the file edits. But in Work you won't be able to see that.Swyx [00:10:42]: I think that's, that's super clear. And then also the other thing I wanted to dive into was your, the productivity team. what else is there? first of all, what are the top-level teams other than productivity? Isn't productivity everything?Productivity Teams and Core ChatAkshay Nathan [00:10:55]: SoSwyx [00:10:55]: Science?Akshay Nathan [00:10:55]: We have a team focused on ChatGPT. Like, the core chat experience, for consumer, which is like, not, I think all productivity. Like, there'People are using ChatGPT every day for search to, figure out how to write messages to loved ones, to think about, how to, like, learn a new topic, et cetera. And so there's so much more inside to create images. And there's so much more in chat that, the hundreds of millions of users are using that warrants, like, a very dedicated effort. And there's teams focused on enterprise and infrastructure and API and stuff like that, so.Swyx [00:11:33]: I will bring it up.Retirement Calculator Demo and Git-First UXSwyx [00:11:34]: Yeah. So I have them both running. This is ChatGPT Work. There's a Codex version here. I picked “Five Little Ducks” song, so this will take a while.Akshay Nathan [00:11:43]: Huh.Swyx [00:11:43]: I think we'll just keep it in the background and, as they finish, we'll look into some of the differences.Akshay Nathan [00:11:48]: Yeah. But immediately, I think if you flip back to the Codex version you'll see that,Swyx [00:11:53]: That it assumesAkshay Nathan [00:11:54]: Like theSwyx [00:11:54]: It assumes Git. Yeah. Yeah.Akshay Nathan [00:11:56]: The, like, dynamic island assumes that you're in a Git repo. And you might miss some stuff because some of it is, like, in the actual chain of thought with those changes and how we display that, but yeah.Swyx [00:12:07]: Is there an unintuitive like, is there a thing that you wanted to ship and then you got feedback, and you were like, “No, let's not do it?” Like, what's the thinking behind that?Why Merge the ExperiencesAkshay Nathan [00:12:14]: In, ChatGPT Work?Akshay Nathan [00:12:17]: I think one direction we could have gone with this is, like, keeping the experiences, like, completely separate. So it's like, whySwyx [00:12:22]: Different apps.Akshay Nathan [00:12:23]: Exactly, like different apps or even in the same app, like different, completely different experiences. Like, why merge it all? Like, what is. Codex, people love. Like, why bring these products together? And I think the intuition here is that, like, all of our jobs are, like, changing dramatically with AI. Like, for, like, every few months, like, I feel like I wake up, and I'm, like, doing a completely different thing than I was doing a few months ago. And my hypothesis here is that, or I should say our hypothesis is that, like, part of what we're, we're building, this technology is giving people leverage. Like, the things, maybe it's the more mundane parts of your job or parts that, like, if you were able to automate, you'd be able to share more ideas faster or whatever, like, you're able to do now. And because of that, like, that might blur the lines between someone who's, like, only writing code or creating strategy docs or, planning events or, helping with marketing or doing podcasts or whatever, right? And so, like, these things are gonna get blurred over time. And so, like, trying to draw a hard boundary based on, like, the who you are is gonna be, is gonna be tough. And, like, we should enable users to choose, but we shouldn't box them in. And so a lot of the work that went in here, like, keeping the primitives the same, like for example, plugins are, like, unified across, this product and ChatGPT and the cloud, was because of that. It's this thesis that, like, eventually things are gonna come together and we don't wanna be Like, we wanna be prescriptive about when to be in either experience, but we don't want to box anyone in.Swyx [00:13:45]: I wonder if there's users who are very tuned to the old ChatGPT harness that is effectively now replaced by the Codex harness. I can't imagine what that was, but maybe they're more the more conversational side. Can you compare and contrast the two harnesses? ‘Cause only you've seen it.Akshay Nathan [00:14:02]: Yeah. I think ChatGPT, the existing harness, like, still exists today. Like, it exists in this app,Harness Engineering: ChatGPT vs. CodexSwyx [00:14:08]: The classic, right?Akshay Nathan [00:14:09]: TheVibhu [00:14:09]: You just start a new chat, and you don't go under Work, right?Akshay Nathan [00:14:13]: Yeah. If you startVibhu [00:14:13]: SoAkshay Nathan [00:14:14]: A new chat and go to chat, then you're, you're talking to ChatGPT with the instant model.Vibhu [00:14:16]: Oh, we can technically do another. But on instant.Swyx [00:14:21]: Yeah. So this one's not gonna code or it's gonna be in line. It's on a in line in a sandbox.Akshay Nathan [00:14:26]: It'llVibhu [00:14:27]: Oh, that's coolAkshay Nathan [00:14:27]: We try to push you to go to Work if you're creating a spreadsheet. Yeah, but this isSwyx [00:14:30]: And this is a router decision? Sorry. Is it a router decision?Akshay Nathan [00:14:34]: This is the decision that, the model is making, and then, like it sees that you're able to. or you're trying to do something that would be better served in Work mode. But I think your question was like, what are the advantages of, like, the chat, like ChatGPT chat harness?Swyx [00:14:48]: It's more broadly, like, I wanna, do an oral history of harness engineering. Right? the ChatGPT harness lasted us from, let's call it the ‘01 era, until now, and now it's being replaced by the Codex harness effectively. And they're, they're overlapping somewhat, but I'm curious what changed if there is.Akshay Nathan [00:15:10]: My perspective on this is, like, there's, there's, there's there's like a constant process of, like, divergence, convergence, divergence, convergence. And in chat, like, many of the use cases I was talking about before, like, search or learning, I think we're, we're really optimizing for latency and optimizing for personality and, like, different things that, over time, like the product The reason people love ChatGPT is because we've been optimizing for those things and working on them for so long. Codex, what we learned was that, like, if you give the agent access to this infinitely flexible environment as a computer, it can do really powerful things. And so when we think about, like, okay, well, for knowledge work, like, what is which mode should we choose? It was like it felt more natural to us to bring that to this, like, computer environment and, maybe abstract some of the details of this computer away from users who might not be used to that, but, like, give them that same power. But ultimately, I think that we want the power in all places, right? We wanna meet people where they are. So I'm sure there'll be work down the road in order to get things to be, equivalently capable in all scenarios. But it's just a question of, like, what we've been focusing on the product on historically and what we're focusing on now.Models, Defaults, and the Reasoning SliderVibhu [00:16:24]: I think alongside that, outside of just harness and when to use Codex, ChatGPT, or Work, there's also the new models you've released, right? any guidance there? So people love to min-max what to use, like only use Terra on high reasoning versus, for this, you wanna use Sol here, ignore all theseAkshay Nathan [00:16:44]: There's 32 options.Vibhu [00:16:46]: But, that being said, for people that are expanding, so, productivity trying stuff for work that don't have the breakdown of what all this is what's, what's the advice, right?Akshay Nathan [00:16:59]: Well, I think before the advice, like the first thing is, like, none of this would be possible without these models. Like, the, I think you asked earlier, like, what was, like, the inspiration for work and, like, early on, like I mentioned, like, what we were seeing with Codex, but that was also because the models were getting infinitely more capable. That's happening again. I think it's like another step function jump now. And to answer the question on advice, like we want this default to be the best possible. Like, we wanna be opinionated about the default, and so we've we've chosen a default that we think is gonna be the best for everyone. And, we have for power users options under the hood. We could One could argue that there might be too many right now, and we're, working on simplifying it. But you can extend, the reasoning level, and you can change between the different model classes if you need to, but the default should be the best for most use cases. So my advice to most people would be to stick to that. And then, if you reach a situation in which you think that you could, you wanna try, a different configuration, if you're not seeing either the efficiency on the cost side or the quality on the intelligence side, then you can change the defaults and see if you can get something better. But we think that the default should be good enough.Swyx [00:18:09]: I have, I'm just gonna run something by you since you have way more experience than me. I've recently been doing Sol Lite but with goal, with the idea that the goal augments the reasoning effort, but with more terminations and turns.Swyx [00:18:24]: Is that a good way to think about it as opposed to Sol Ultra or Sol, Extra High?Akshay Nathan [00:18:29]: Yeah. It's hard to say becauseSwyx [00:18:31]: Yeah. It's like an interaction effect.Akshay Nathan [00:18:33]: exactly. It's like there's a preference on, for you as an individual, like how do you like to collaborate with the models? Like how many of those like terminations, as you call them, do you want where, you can steer or make sure that it's doing the right thing?Akshay Nathan [00:18:46]: I think generally people should try whatever works for them. I think that like using Ultra or the like multi-agent setups are best for like when you have like tasks that are either incredibly complicated, like open explorations or very paralyzable. I think even for tasks using goal, I think is best for tasks that you'll be able to make consistent progress in a way that's verifiable over time. But I think for most tasks, they don't fall into either of those buckets. And so like at least when they're starting, and so that's why I think the best first step is like trying it with the default configuration and then seeing like where you wanna go from there.Swyx [00:19:29]: Right. You guys worked on a slider, which is super helpful for reducing the amount of panic.Vibhu [00:19:36]: It's nice on mobile at least. There's a nice slider there.Swyx [00:19:38]: It's nicer.Vibhu [00:19:39]: I haven't tried it.Swyx [00:19:40]: So you have the advanced view there, but if you click advanced view. Yeah.Vibhu [00:19:44]: Ooh, it's just a nice slider. Yeah.Swyx [00:19:46]: Very pretty, very colorful.Akshay Nathan [00:19:48]: Yeah. The idea was here was like reduce it to like one dimension even though there's multiple dimensions, right? Try to project it onto a single dimension for the user. Like, something from that represents like, speed and efficiency on one side and then like quality and thoroughness on the other side.Artifacts, Spreadsheets, and the Work LaunchSwyx [00:20:04]: I am just puzzled that it uses Sol so much, like the lowerVibhu [00:20:07]: NoSwyx [00:20:07]: Grounds I would've usedVibhu [00:20:08]: I think the slider, if I'm not mistaken, isSwyx [00:20:09]: Terra.Vibhu [00:20:10]: Oh, it is.Swyx [00:20:11]: Yeah. See? So they preset Terra to only be the light one. But like I think a lot of people would more people should use Terra. One, because Sol keeps running out of capacity.Vibhu [00:20:22]: I'm the reason. Here's ten minutes of ourSwyx [00:20:24]: There you goVibhu [00:20:25]: Retirement calculator.Swyx [00:20:26]: Oh, that's the Excel thing working for you.Vibhu [00:20:28]: This is,Swyx [00:20:28]: Oh my God. Look at thatVibhu [00:20:28]: This is work, and then Codex is still cooking, so we'll get back into it. I think it'll be interesting to see the thought process, the reasoning, and also, this is eight minutes on work. Codex is still cooking.Swyx [00:20:41]: Yeah. And by the way, so I've, do Gabriel Chua? He's part of the OpenAI Singapore team. He showed me this, and I was like pretty shocked that this looks like Excel. It edits Excel files. You never paid an Excel license, right? Like, but somehow this is like workable and it's agentic Excel.Akshay Nathan [00:21:01]: Yeah. one of the big like pushes that we made for this launch was like artifacts, right?Akshay Nathan [00:21:05]: Like both on the model side, like I think if you compare this with GPT-5.5 and GPT-5.4 before that, you'll see that there's been pretty dramatic improvements in the quality of these artifacts and then also on the product side.Vibhu [00:21:16]: The UX side is also crazy, like hosted sites and whatnot. No longer needing to host your own little webpage, like itSwyx [00:21:23]: Oh, I have a story about that. I can do, a separate thing. I'll need to take the visuals here, but we-we'll, we'll cut to that later. Was there co-training, because you were moving making this big move and you launched GPT-5.6 on the same day as ChatGPT Work? Was there influence between the model training teams and the harness teams, or did they did the launch dates just happen to line up the same day?Akshay Nathan [00:21:46]: I think the we collaborate heavily with the research teams, and I think that's like one of the most magical parts of the job, like the most fun parts of the job. But yeah, just using artifacts as an example. Like, a lot of what you're seeing, like underneath the hood, there's a lot of work that went into making sure that like, we had the right infra to be able to train the models to get better at this. And then on the product side, like had the right experience for users to be able to collaborate with the model on an artifact like this. In fact, like this whole viewer, like the intuition here is that like, it's not necessarily that you wouldn't need an Excel license. This is stage one, right? Like, this is probably not what you meant when you're like making a retirement calculator.Vibhu [00:22:24]: Yeah, you can iterate very easily. Yeah.Akshay Nathan [00:22:24]: You wanna iterate and like when you're seeing it, and if this thing is high fidelity to like what you would see in or what your coworkers would see if you were to send this to Sean, like that I think makes it so easier and makes you trust the product in terms of iteration.Vibhu [00:22:39]: When you say coworkers would see, do you see a multiplayer, multi-team collaboration with artifacts? Any things you guys think about that?Multiplayer Artifacts and CollaborationSwyx [00:22:46]: You can already share it, right?Akshay Nathan [00:22:48]: Yeah. It's inter It's something that, we're actively thinking about. one thing that, we've noticed internally without talking too much about the roadmap is that like there's many times when someone will ping me about something, and I will ask ChatGPT Work the question, and then I'll ping them back the answer.Akshay Nathan [00:23:04]: And then I'll be thinking likeVibhu [00:23:04]: Like the simplest would be, the three of us are just all on one hosted.Akshay Nathan [00:23:07]: Exactly. And I'll think about like was I required in this loop or and then maybe it was, rephrase like what they were asking or pulled from certain context or whatever. But like, when I gave them back the answer, that process was also lossy, right? Like I gave them just like my interpretation of what ChatGPT Work cooked up. But like underneath the hood, there's so much context like in the rollout and stuff that could be interesting.Vibhu [00:23:28]: Yeah, it'sSwyx [00:23:28]: So like the answer was preemptively respond to every inbound request?Akshay Nathan [00:23:33]: No, it was just like literally like this is what I do sometimes as my job.Swyx [00:23:36]: I know you copy-paste and then you're just a message forwarding serviceAkshay Nathan [00:23:39]: Yeah. Yeah, exactlySwyx [00:23:39]: From AI to AI.Vibhu [00:23:40]: But I think it's interesting, right? It helps people understand the capability of what you can ask and delegate that oftentimes people don't realize until they try or someone shows you, and then you're like, “Oh, okay. Okay, I see.”Swyx [00:23:52]: I think it's als there's also like a, light security issue, where like you're the permissions layer. Like yes, I could query everything that you query, and I could get an automated response, but maybe I'm not supposed to see it. And that there's no way I would know because I'm not supposed to know what I don't know.Akshay Nathan [00:24:07]: Especially as like, with ChatGPT Work, we're, we're asking you to connect your plug-ins and, it's pulling from your local files and stuff like that. Like the amount of context that the agent has access to is like- Deeply personal and like that's something I think we need to preserve, so that'll be definitely a challenge.Swyx [00:24:22]: There's Excel, there's PowerPoint, there's Docs, the, grand trio of work. What other formats of work do you think about? like you worked on Airtable. Is there a future where there's like OpenAI Airtable? Like what does that look like if you ever ended up doing it?Akshay Nathan [00:24:41]: It's a really good question. I think,Formats of Work: Sites as Knowledge ArtifactsAkshay Nathan [00:24:43]: one that you didn't bring up was Sites, and I think that wasSwyx [00:24:46]: SitesAkshay Nathan [00:24:46]: A core part of this launch. There's one side of Sites that I think people commonly talk about, especially on Twitter and stuff or X, of like, this like prototyping tool. And like we saw that happen with this launch even. The model slider that you guys were referencing earlier, like that was developed almost fully in a Site. Like, the collaboration between design and engineering and product on that was like on a site where we play with, the affordance and figure out how it feels and all of that. But the other aspect that I think is a little bit less talked about is like Sites as like an artifact for knowledge work. I was talking to someone the other day who's on like our corporate finance team, and like we were mentioning how like now when they have these reports that they're, they're working on as a team month to month, historically those things were in slide decks and in spreadsheets, and now they're just in Sites. And like Sites is the mechanism that they collaborate across the team. And the reason is ‘cause it's like, it's like somewhat higher bandwidth. Like, at these tools like PowerPoint and Excel are like infinitely flexible, but at some point you reach the boundary of like either as a human you may not know how to use some feature or something, or the product itself doesn't support it. But with a site you can do anything. You ask for anything and you can get that. once people see that magic, I think it's been really valuable.Swyx [00:26:02]: Yeah, let me show you my case study. this involves all the hot topics including ChatGPT Work, but also GPT-5.6 token billionaires and token maxing and Sites and auto research. I'm a fan of this game called Strata. It's, it's like a little board game that youSites, Auto Research, and Research DashboardsSwyx [00:26:17]: That you play with, physical blocks, that come on top of it like that. So over the weekend I took like thirty photos and just threw into ChatGPT. one point seven billion tokens later, out comes this site with a fully playable thingAkshay Nathan [00:26:32]: WowSwyx [00:26:32]: With 3D, block placement and everything. Because it requires physical blocks and I needed friends to train on it so they can get better, so I can play against them. But also, I could also, do things like train an AI on it and that's, thatAkshay Nathan [00:26:45]: That's your auto researchSwyx [00:26:46]: That gets into auto research. So, you want to train your own AIs, and then make sure they self-play against, each other. I need to set both AIs. So this is AI versus AI, and they're, they're gonna self-play. the AIs start out bad and then you want to define a loss function and get good. I wasn't gonna supervise all this. I was at, I was down in San Mateo, attending a conference. What I ended up doing was, auto researching and on this and creating benchmarks and that there was just way too many parameters for me to read. So I started asking it for a site, and it's created this lab, panel. Where is there a, is there a shortcut for a site that is created?Akshay Nathan [00:27:28]: You should be able to go in the sidebar to Sites, top of the sidebar. The left sidebar.Swyx [00:27:33]: This one? Oh, left?Akshay Nathan [00:27:35]: Yeah. Just scroll all the way to the top.Swyx [00:27:36]: Oh. Oh, it says Sites. Oh, there you go. Yeah.Akshay Nathan [00:27:39]: Ooh.Swyx [00:27:40]: So it create, it creates the sites. I don't, I don't think this is, it is exactly what I wanted, but let me show you what it popped up, right? Like I think as a research artifact, it is very important to communicate, exactly, what is being done. Outputs this thing which I eventually started publishing. So I moved it off of Sites because I wanted more, database and infrastructure than Sites afforded me. But this is like a research output that you can start to mess with and like try to think about like what hyperparameters are you tuning for training AIs. And like I was trying to make like scaling laws and everything and doing all sorts of like game optimization stuff. And the fact that you can just throw this up as a research artifact, like I no longer need to read ChatGPT output. I read Site output. But then there's also a huge sprawl. Like look at how long this thing is. There's so many numbers. It is pretty overwhelming, so then I have to start pruning it from there. But, it's an interesting transition from Markdown effectively that you're putting out to, you're putting out a whole functional site.Akshay Nathan [00:28:41]: I think Markdown just isn't that optimal for people to read, right? Might as well just write HTML website and I don't know. I think you can do a lot with customizing this, right? You have your skills that explain what you want. Like I noticed they're quite verbose. I don't need a lot of this information.Swyx [00:28:57]: It's very verbose.Akshay Nathan [00:28:58]: So and then the nice thing of having a site side by side is, you just iterate on what you want and what you don't, right?Swyx [00:29:05]: Yeah. I don't know if, any that triggers any stories for you of how it's run internally. Am I doing this right?Akshay Nathan [00:29:11]: Yeah. I think that this is like a workflow that we're seeing like all different types of teams use, where like the canonical artifact that was previously a deck or something is now becoming a site. And like with a site you, because it's just HTML, you can like. It's infinitely flexible. And so, if you want to give more prominence to a certain thing that like in a slide deck would, feel like it was buried, like you can do that. You can have it be like the hero image, right? And so I think that like, people are starting to see that. There's more work to be done to make these things like much more easier, easy to collaborate on. You mentioned that they're very, they're long and verbose, could be broken up. I'm sure that there's still something to do there.Swyx [00:29:53]: They're super long. Yeah.Akshay Nathan [00:29:54]: Yeah. But I think we're starting to see that like there is this aspect of this is a really interesting, format, for people to use, that's like much more flexible than what they ever had before.Swyx [00:30:07]: I think your job also comes becomes meta. You're not designing the products. You're designing a product to make products, and I'm curious how you manage that.Designing a Product That Makes ProductsAkshay Nathan [00:30:18]: I think one thing that we've been Like when we look at the UX, like that we've been thinking a lot about is how can we balance like simplicity with capability? Like if we're designing a product, like you said, that like is made to make up build other things, right? You can build so many different things. But we can't put that all in front of you because you'll get overwhelmed.Vibhu [00:30:41]: Yes.Akshay Nathan [00:30:41]: And so we had similar problem or similar challenges even Chat-with ChatGPT, but especially now, like when there's so much that can be done, I think the balance that we're constantly trying to strike is like, how can we give the user enough of a UI surface where, they can be expressive, they can tell the agent what they need, they can verify that it's using the right tools, it's pulling from the right sources, et cetera, but then it gets out of the way. And then how can we build the right system such that we can show them instead of telling them what can be done? Because so much of this is gonna be like, how do they discover the next use case and the next one after that if they really want to be super powered by the AI.Games, Private Evals, and Show-Don'TellVibhu [00:31:19]: Yeah. It's interesting. I feel like everyone also just has a different way to do it, right? I made a similar version of this same game. I didn't take any pictures of board or rule game. I threw in at goal eighteen minutes, fifty-three seconds later, a lot of tokens later, I've got a similar version. not with all the auto research and whatnot, butAkshay Nathan [00:31:39]: You gotta do all the latest trends.Vibhu [00:31:40]: And yeah, I did it with, did it with Codex, not Work, but it's interesting, right?Akshay Nathan [00:31:45]: Yeah. And this is GPT Image generating the pro avatars. Very good for game design. LikeVibhu [00:31:51]: AndAkshay Nathan [00:31:52]: A lot of game designers were like really into GPT Image for assets.Vibhu [00:31:54]: I will say like the broader takeaway probably is the reason that we do this is more so just to test the tools, right? Like, this was also a test for GPT-5.6 came out. I had done the game on GPT-5.5, right? The ability for me to no longer need it to. I had to feed it the rules. It's, it's a pretty niche game. It couldn't find how to do this on its own.Akshay Nathan [00:32:15]: Oh, yeah.Vibhu [00:32:15]: GPT-5.6Akshay Nathan [00:32:16]: It is out-of-distribution, which is why I was also very keen on testing the GPT-5.6 capability.Vibhu [00:32:21]: But, this is just as work comes out, as new things come out, these are just our side ways to test things, right?Akshay Nathan [00:32:27]: Yeah. It's some private eval. That is not this private.Vibhu [00:32:31]: But also valuable because now you can send this to your friends and I learned about this game through seeing this.Akshay Nathan [00:32:36]: It's a hard game. He's very good.Vibhu [00:32:39]: It's good to when no one is competing with you. But yes, it's a classic RL problem of like self-play, bootstrapping your game AI. yeah, you see how easily work becomes personal and personal becomes work because the thing I do for personal, it directly informs people I work with because I showed it to them. They were like, “Oh, you can do that with GPT?” Which like I imagine is the growth strategy.Akshay Nathan [00:33:02]: Yeah. The show not tell is a big piece that, I think we've we're not still not fully cracked of like, showing people all the things that they can do with the product versus like trying to teach that to them through like, articles or onboarding or whatever.Akshay Nathan [00:33:18]: So meeting them in the moment.Vibhu [00:33:19]: It's a career risk for me, because I used to be in developer relations, right? Where your job is to show, and then you're like, “What do you mean? You don't, you don't need.” your job is to tell. And then. But the product people are like, “Well, we don't need you if our product is intuitive enough.” SoAkshay Nathan [00:33:37]: Yeah. that's the magic of the models. So you can tailor the telling or the showing to like specifically what the user needs, like what they care about, what they've done in the past, exactly where they are on the adoption journey. So I think that's like gonna be a super big opportunity.Vibhu [00:33:50]: Seems easier and easier now to tailor custom showing, right? People have different use cases. As much as you said you don't wanna segment different people into different buckets, right? It's also not that hard to for people that are in different categories. But the question, is you said your team is more broadly on. What was the term you used? Productivity?From Developers to Knowledge Work to EveryoneAkshay Nathan [00:34:12]: Productivity.Vibhu [00:34:12]: Productivity. So howAkshay Nathan [00:34:12]: Which is now work.Vibhu [00:34:14]: Is it work? Is there another distribution that we're not hitting? Is there a group of people that will have something different than ChatGPT, Codex or Work? Is there more that the mass isn't targeting?Akshay Nathan [00:34:28]: I see it as like a sequencing, like. The vision is like bring useful agents to everyone. We started with like developers. Like developers historically are like early adopters that are willing to put up with more friction, set things up, et cetera. Like that's where, Codex started. I think the next opportunity is like what we call general knowledge work, all the other functions around developers. I think when you go from developers to this segment, like there's inherent challenges with like, this show not tell thing that we're talking about, making the product more understandable, bringing in new capabilities that matter more for this cohort than matter for developers, things like artifacts, things like computer use, et cetera. And then I think like the same learnings, like similarly how we took the learnings from developers and brought it to, general knowledge work, the next stage will be like taking the learnings from general knowledge work and bringing it to everyone no matter what they're doing in their lives. And we're already seeing that a little bit. Like this game example that you have is, something that's like on the border of like fun and personal life to, your professional life. I use ChatGPT Work full-time at home for everything, like for whatever I'm doing. I used it the other day to come up with a meal plan and like, save that on the like computer environment that it has and something that I can continue going back to. Like is everyone doing that yet? Probably not because the thing says work on it, but eventually, we wanna get people there.Vibhu [00:35:51]: ChatGPT life.Akshay Nathan [00:35:52]: Yeah, exactly. ChatGPT cooking. But I think there's a lot of, there's a lot of opportunity there, but I see it as like, we're, we're built we built a foundation in software engineering, and we're gonna take the same learnings that we take from software engineering to knowledge work to everyone.Vibhu [00:36:07]: Do you have any power user advice? I feel like, there's a group of people that will live it, use it for everything, stay on it twenty four-seven. And then there's a bit of a gap between that crew and people that, okay, I use it for work. I use it occasionally. Sometimes I type questions. any advice, any learnings, anything you recommend or just, takeaways that you've found that help bridge that gap?Power User Advice: Push the Frontier of ImaginationAkshay Nathan [00:36:30]: I think a couple things that I've seen is like, one, that it really helps to broaden your imagination of what's possible, and this has been a learning even for me. Like, the technology has progressed so fast that, something that, like, even three months ago, like, no way the models can do this. Like, now it's like, wow, it's like it can. Like,Swyx [00:36:52]: Give an exampleAkshay Nathan [00:36:52]: We're going through right now our, like, review cycle internally, and, people always talked about this as, like, a thing that the models are good at and like, there's a cliché of like: Okay, like, no one wants to be writing reviews and, like, we just use AI to do it. But in all seriousnessSwyx [00:37:09]: And it can evaluate it as well.Akshay Nathan [00:37:10]: Yeah, exactly. In all seriousness, before it was, like, just, like, slop and, like, I think it was helpful, but, not super productive. Now I've found that, like, the model can do a much better job than me, especially in this environment of, like, pulling context on, like, what people are up to, how they've like the things that they've done to make a difference, highlighting like, wins that they've had that, like, I might may not even have seen. It has access to, like, everything, right? Like the code, like, things that they've caught, reviews, Slack, everything. And so it's, like, incredibly powerful in that domain and, like, just like six months ago, the last time we did this cycle, like, I didn't even I tried using it, but it was not at all helpful. And this time it's been, like, incredibly helpful and, like, so I think continuing to push the frontier of imagination of what's possible, even if you tried something before, I think is maybe the my biggest piece of advice. The other, thing is, like, the more you put in, especially in this environment where, like, the model has access to everything on your computer or in ChatGPT Work, like you can create, artifacts over time and save them in your library and, like, the model will continue having access to those. Like, the more information you give it about whatever domain you're in, whether it's your life or your work, the more valuable it becomes, and it'll become valuable in, like, ways that might surprise you. Like, it might pull from context in a way that, may be proactive and that you might not even have thought about. But it needs to have access to those, to that those tools or that context first.Reviews, Agentic Search, and Context GatheringSwyx [00:38:27]: One thing I just wanna talk about the review stuff because I'm still that's a very sensitive thing and you're, you're a founder, you've managed people, you've hired people. As manager myself, I'm very reticent to put out any LLM-generated things especially when it comes to people, ‘cause it feels like you don't care.Swyx [00:38:46]: Presumably at OpenAI, people are more open to being eval rated by GPT. But are there any unofficial rules around this? Like, what's the etiquette?Akshay Nathan [00:38:57]: Oh, I think the etiquette is that, like, I would never write something via, like, well, solely via AI and, like, present it as, like, a review for someone. What I was talking about is more, like, gathering context. That's the place where it's incredibly helpful.Swyx [00:39:08]: So it's just search.Akshay Nathan [00:39:09]: Yeah, exactly.Swyx [00:39:09]: It's agentic search. Yeah.Akshay Nathan [00:39:10]: It's like agentic search, but, that you can tailor and steer much more capably than you could before, ‘cause, like, the thing is it's all there's a flywheel happening, right? Because of Codex, people are able to do, and because of ChatGPT, people are able to do so much more now than ever before. And if you're able to do so much more, it's easy to miss things as well. And so, like, I think we need to use these same tools to keep up with all the impact that people are having and understand, where we can be helpful.Swyx [00:39:39]: I think the thing, like, I run a small company, so easy to search, but at the scale of OpenAI with the amount of messages that you guys put in Slack, do you think that it misses things?Remembering What Humans MissAkshay Nathan [00:39:50]: Probably, but I think that I also miss things.Swyx [00:39:52]: Like, it doesn't matter, right?Vibhu [00:39:53]: I think sometimes it'sSwyx [00:39:53]: Like it's, as it needs to be human-levelAkshay Nathan [00:39:54]: It's all relative, right? Yeah.Vibhu [00:39:56]: Sometimes it's nice when it finds things you wouldn't, right? Like right now, my Codex system prompts, they're set up in such a way that every project I have has a secret- separate, notes MD, and it just writes learnings to there. And then the global one can pull from all these. So sometimes it'll be like: Oh, there's this project you did like four months ago. Here's a note that we had, and it randomly pulls it back into context that I would never do, I haven't thought about.Vibhu [00:40:20]: And I'm like, okay, this is quite superhuman, right? Like, stuff that would. And, it'll save like hours on chunking of stuff or find something that's already been done. I'm like, as much as it might miss stuff, I would too, but it's very useful when it finds stuff. And I have like a very, non-super engineered solution to this. It's just marked down files that get pulled whenever they want.Akshay Nathan [00:40:41]: Yeah. I have a funny anecdote about this. Like, recently gearing up to this launch, the team has been, really cooking on it for a couple months, and over that time, like there's so much conversation and chatter going on in Slack and Docs and elsewhere. And, one of the members of the team set up this, scheduled tasks, like automation to like look at everything that's going on and, like, come up with the best memes and then post it in one of our shared channels. And like, there are two cool things about this. Like, the first is, like, I think the models are, over time, like starting to become like funny.Swyx [00:41:13]: Funny. Nice.Akshay Nathan [00:41:13]: Whereas like, a year ago, like that was not at all the case. The second is, it was what you were saying, like they find things that in surprising ways that you may not have thought of and like create connections that you may not have thought of. And that really helps with like the meme generation because then you can see something that, genuinely surprises you and, is funny in that way. So yeah, that's like not like the most productive, use of this the technology, but it does it does uncover this, like this capability that's emerging, which is just like to find information that you otherwise would not know of.Launch Momentum and the 10 Million User MilestoneSwyx [00:41:43]: Talking about the launch, I think, I have pretty much said this is the most successful launch in a long time. I think even more successful personally than 5.0, and they're announcing ten million users. Does it feel different? You've been through a lot of launches.Akshay Nathan [00:41:58]: I think it feels like a culmination. Well, I think two things. One, it feels like a culmination, like I was mentioning earlier, like this like vision mission that we've been on for a long time. Like I said, we saw the magic of Codex internally, and then we're like extremely excited to bring this to many more people and to see it working, to like see us reach, the distribution goal, numbers that you mentioned, like I think that's like huge and super exciting. The flip side of that is like, there's so much more to do too. Like, that's also really exciting. Like, ChatGPT as a whole, like the this product that, everyone almost equates to AI and like loves, has hundreds of millions of users. And so like ten million is really cool, but like we need to get this to everyone. Like, we need everyone to feel this magic. And so that's the next step from here. But yeah, I think extremely pumped about how it's going so far and the opportunities.Swyx [00:42:46]: Awesome. I did want to also Because I've, I've, I've been tracking the number closely, it transitioned at some point from just Codex users to Codex plus ChatGPT Work, because they're same harness. The whole point is that you don't, you can't, count them separately. Do you have roughly a billion, ChatGPT users? Why did it just jump to one billion right away? Like, isn't that the default on ChatGPT or no?Codex, ChatGPT Work, and the Developer BrandAkshay Nathan [00:43:11]: We don't default you into ChatGPT Work if you're on ChatGPTSwyx [00:43:14]: If you're free. YeahAkshay Nathan [00:43:15]: It's also only available to paid users right now. And I think there's like a process of, educating users of what is the value of this product, having them try it, learning from their feedback, and making it better over time. But the goal is to, get as many of the people who love ChatGPT today to like feel the power of ChatGPT Work. But I think it'll be a journey.Swyx [00:43:36]: Yeah. And Codex will still be alive as a brand for the foreseeable future. And we'll just toggle between them as needed for UI stuff.Akshay Nathan [00:43:44]: Yeah, I think it's even stronger point than that. Like, I think we fully intend to like, treat developer. Like, developers have been, a core market for us for so long, and like there's, there's so much more that we can do to make Codex great specifically for, software development, and we'll continue to do that. This doesn't take away from that at all. If anything, it should increase the utility of something like Codex, because now you can move seamlessly between writing a diff to creating an artifact or, doing a search over your factor.Swyx [00:44:11]: I do wonder how much this terminology leaks to the non-technical user. Like, do they have to learn to say artifact if I want artifact? Or.Akshay Nathan [00:44:20]: It's funny, like we call it artifacts internally ‘cause that's what the teams call it.Swyx [00:44:23]: It's nice. Yeah.Akshay Nathan [00:44:23]: But like externally, like no one says that, no one calls it an artifact. But I think that people like often, like describe things, whatever they're used to, right? So if, ChatGPT Work is good at creating slides, they'll say ChatGPT Work is good at creating slides, and that's what we want.OpenClaw, Personal OS, and Persistent ComputersSwyx [00:44:38]: One big Another, it's July of twenty-six. One big thing that also happens in, for OpenAI was OpenClaw, and that's I think a lot of people's first time really maxing a agent for personal stuff, but also crossing over to work in essence same way. As far as I understand, OpenClaw is still independent, but did you go through your own OpenClaw moments? Were there any lessons you took from OpenClaw to Codex or back? Whatever.Akshay Nathan [00:45:06]: I think there's a lot of inspiration. I did go through my own OpenClaw moment. I,Swyx [00:45:10]: Yeah, tell the storyAkshay Nathan [00:45:10]: Me and my wife like set up an OpenClaw to like try to manage everything in our house. Not that there's like a ton, but it was like quite useful. We gave it a calendar. It started, creating events for us and stuff. At some point, the laptop that we were running on, it died and never got a chance to pick it back up. But there was a lot of inspiration there, like, in ChatGPT Work, in web and mobile, like you get access to this like persistent computer environment where, you can store files, and those files stay around between sessions. And the idea is to be able to enable use cases like this. one of the members of our team uses ChatGPT Work for what they used OpenClaw from before, and then feel like it has like completely transitioned, which is like, workout planning and like meal tracking. which again, it's like a work-related thing, right? It's like not work necessarily, but it's like in personal productivity space. But it has all the same primitives. So it has scheduled tasks. It has the ability to store files on a file system. It has the ability to like reference those things over time. And so you start to see the same types of use cases emerge, which has been really cool.Swyx [00:46:14]: Is there a point that ChatGPT Work completely replaces OpenClaw? they're independent, so.Akshay Nathan [00:46:20]: Yeah, I'm, I'm not close to it, so I can't speak to the OpenClaw roadmap, but I don't think so. I think that there's gonna be, there's always a need for like this like incredible, like open source technology that team has built. And I think that we can draw inspiration, in the product and, ChatGPT, I think many more people have like heard about and used ChatGPT than have used OpenClaw. And if we can take the magic from OpenClaw and bring it to them, I think that'll be a success. I think that like one thing on the ChatGPT Work side that we feel strongly about is that like the core experience is that you come to this product and you have a conversation, start a session, whatever you wanna call it, with this agent. And the magic of the product is that you can do anything in that moment. And we would like to create a product where you don't have to click a button or to go to a different place, whatever, and you can get whatever functionality exists in, your finances app or where or any other product like in this one place. And so that's the goal. It's like it we want an extensible system with plugins where you can connect to the tools that you need in order to be able to accomplish like a financial task, where you can, if you're doing like science work, like we have an ability to like extend the system in such that you can like write the tech and it performs well. There'll always be like products that we support that are best in class at those things, but we want as much of the magic as possible in that core experience.Swyx [00:47:45]: Yeah. Do you think that you can do everything you used to do with Wealthfront in ChatGPT Finance?Finance, Data Access, and Centralized ContextAkshay Nathan [00:47:50]: I tried it. like ChatGPT doesn't yet custody, cash and assets for me. So that part, no, not yet. But I, there was like a whole component of like retirement planning and, like financial planning and budgeting and stuff that, we were looking into when I was there. And like with the finances plugin, like that's all possible with ChatGPT today. So, I feel

Send us Fan MailJoin us for a wide-ranging chat with George Vogel, legendary Cincinnati sports journalist and Reds enthusiast. From his early fandom and iconic players to a firsthand account of historic Reds moments, George shares insights and stories from decades of covering Cincinnati sports.In this episode: George's childhood baseball memories and early Reds fandom Favorite Reds players from Johnny Bench to Kyle Schwarber Reminiscences of managerial legends Pete Rose and Lou Piniella Behind-the-scenes stories of how George broke into sports journalism Celebrating key Reds moments like Tom Browning's perfect game and Pete Rose's return The legendary "most memorable visit" to Reds games Personal reflections on the Reds' decision-making and uniform choices Fun categories: favorite Reds head of hair, go-to ballpark foods, and most intimidating players George's take on Reds rivals he despises His favorite baseball movies and dream team scenarios TIMESTAMPS: (00:00) – Welcome and introduction to George Vogel (01:11) – George's first memories of Reds and baseball fandom (03:39) – Favorite Reds players and how their legacies impacted him (07:36) – Interactions with Reds managers and insights into Pete Rose and Lou Piniella (10:24) – How George started in broadcasting and his early career path (13:46) – Memorable moments from George's career covering Reds and Cincinnati sports (19:20) – Redirecting a historical Reds decision with the “time machine” question (21:52) – Reds rivalries and players he truly despises (23:44) – Designing a Reds Mount Rushmore (25:42) – Creating a Reds fantasy dinner party lineup (28:12) – Players George wishes to see in Reds uniform (29:48) – Favorite ballpark foods and game-day snacks (30:42) – The night George remembers where he was for Tom Browning's perfect game (36:08) – George's favorite baseball movies (38:15) – Best Reds uniform design and the iconic look (39:35) – Backup players George admires (42:25) – Most memorable Reds moments with fans and the city (45:57) – The nicest Reds players George has met (46:53) – Players he'd want on his bench in a brawl (49:37) – Top Reds hairdo and the wildest player nicknames (48:35) – Race around the bases: Sanders, Hamilton, or De La Cruz (50:46) – George's reflections on his retirement and future plans RESOURCES & LINKS: Johnny Bench profile (example placeholder) Kyle Schwarber on MLB* Tom Browning's perfect game highlights* Reds Uniform History* Sean Casey - Reds Player Profile* Major League Baseball Movie — "Major League"* Trevor Hoffman "Hell's Bells" Walk-Up* Cincinnati Sports Hall of Fame (example placeholder) CONNECT WITH GEORGE: Twitter (hypothetical) LinkedIn (hypothetical) ENJOYED THE SHOW? Subscribe for more Cincinnati sports stories, deep dives, and legendary moments with fans and insiders.#Reds #CincinnatiSports #BaseballHistory #Podcast Jack thanks the listeners

What does it actually mean to create a justice-centered curriculum? Many educators are committed to equity, inclusion, and justice, but translating those values into daily curriculum design can feel overwhelming. In this guest episode of the Time for Teachership Podcast, host Lindsay Lyons sits down with educator, researcher, and framework designer Dr. Genevieve Erker-Caffrey to discuss her innovative P.O.W.E.R. Framework, a practical tool for creating justice-oriented social studies curriculum that is grounded in critical theory while remaining accessible for educators. In Part 1 of this conversation, Dr. Erker-Caffrey shares the origins of the framework, the challenges teachers face when designing equity-centered curriculum, and the first two dimensions of the P.O.W.E.R. Framework: Presence & Personhood and Oppression & Opposition. In This Episode, You'll Learn: Why many educators struggle to implement justice-centered curriculum despite strong commitments to equity The organizational and structural barriers that make curriculum design challenging Four key characteristics teachers identified as necessary for effective equity-oriented curriculum How the P.O.W.E.R. Framework supports curriculum planning across grade levels, topics, and identity groups Why curriculum should begin with identity, humanity, and dignity before oppression How to teach about oppression in developmentally appropriate ways Why resistance and opposition should always be taught alongside systems of oppression   Get Your Episode Freebie & More Resources On My Website: https://www.lindsaybethlyons.com/blog/268    Connect with guest Dr. Genevieve Erker-Caffrey  Website: www.genevievecaffrey.com  

Most business owners know where they are today, but few have clearly defined where they're going. Jennifer Moscow joins the podcast to discuss the power of creating a Vivid Vision and how a compelling picture of the future can align your team, attract the right people, and accelerate growth. This conversation will challenge you to think bigger and lead with greater clarity and purpose.

In this episode, I'm (host Ekaterina Popova) joined by Bonnie Christine, fabric designer, artist, and founder of a multi-seven-figure surface pattern design education business. We talk about what it actually takes to turn a creative gift into real income, how to get started in pattern design even with zero experience, why she believes we have a responsibility to pass on what we know to others, and how she's built her life around her passion rather than the other way around. Bonnie shares the full story, starting in her mom's quilt shop, teaching herself Adobe Illustrator with no design background, and working up the courage to cold call art directors until a company offered her a contract. In this episode: Turning a creative gift into real, sustainable income How to get started in surface pattern design, even with no prior experience Why passing on what you know is part of the creative journey, not separate from it Designing a life around your passion instead of the other way around Why she believes it only takes 10 seconds of courage to change everything Her "one thing a day" philosophy and the power of daily consistency What she's building now with Pattern+, Pattern Magazine, and Flowerie   Connect with Bonnie Christine: Website: https://www.bonniechristine.com Podcast: The Professional Creative Stay connected with Create!: Join our Substack for weekly stories, resources, and behind the scenes updates: https://createmagazine.substack.com Visit https://www.createmagazine.co for artist opportunities, open calls, and more

Today, I'm joined by Jenny Duan, co-founder & CEO of Clair Health Launching in November, Clair's wrist-worn wearable leverages a multimodal sensor and female biology world model to unlock continuous, noninvasive hormone monitoring. In this episode, we discuss building the data infrastructure for women's health. We also cover: The perimenopause opportunity Designing a proprietary sensor stack Moving toward medical device status Subscribe to the podcast → insider.fitt.co/podcast Subscribe to our newsletter → insider.fitt.co/subscribe Follow us on LinkedIn → linkedin.com/company/fittinsider  Website: https://wearclair.com/ Instagram: https://www.instagram.com/clair_health  - The Fitt Insider Podcast is brought to you by EGYM. Visit EGYM.com to learn more about its smart fitness ecosystem for fitness and health facilities. Fitt Talent: https://talent.fitt.co/Consulting: https://consulting.fitt.co/Investments: https://capital.fitt.co/ Chapters: (00:00) Introduction (01:30) Clair product overview (02:02) Wearable design and form factor (03:00) Women's health landscape (05:40) Hormone tracking solutions gap (06:36) Technology and sensors (08:00) Accuracy and calibration (09:15) Homeodynamic vs. homeostatic (11:30) Clinical applications (13:15) Perimenopause opportunity (14:50) Female founder experience (17:00) Fundraising and team building (20:00) Investor conversations (21:20) Demand signal and waitlist (22:00) Launch strategy (25:10) Healthcare integrations (27:45) Staying laser-focused (29:41) CEO daily priorities (31:20) Clinical trials and strategy (32:12) Consumer vs. medical balance (33:05) Voice AI and app experience (35:02) Where to find (35:54) Conclusion

APR Health Solutions Peptides: www.aprhealthsolutions.com - code nyleOptimize HRT Clinic: https://members.optimize-hp.com - code nyleMerch: https://www.aykons.com/nylePlease share this episode if you liked it. To support the podcast, the best cost-free way is to subscribe and please rate the podcast 5* wherever you find your podcasts. Thanks for watching.To be part of any Q&A, follow trensparentpodcast or nylenayga on instagram and watch for Q&A prompts on the story  https://www.instagram.com/trensparentpodcast/Huge Supplements (Protein, Pre, Defend Cycle Support, Utilize GDA, Vital, Astragalus, Citrus Bergamot): https://www.hugesupplements.com/discount/NYLESupport code 'nyle' 10% off - proceeds go towards upgrading content productionYoungLA Clothes: https://www.youngla.com/discount/nyleCode ‘nyle' to support the podcastLet's chat about the Podcast:Instagram: https://www.instagram.com/trensparentpodcast/TikTok: https://www.tiktok.com/@transparentpodcastPersonalized Bodybuilding Program:  https://www.nylenaygafitness.comRP Hypertrophy Training App: rpstrength.com/nyle (code nyle)00:00:00 Intro00:00:42 Relationships & Marriage00:04:48 Identity - “You Are Not Bodybuilding”00:6:57 Finding Faith00:14:38 The Origin Story00:20:39 Starting Gear as a Teen00:28:17 The Tragic 2016 NY Pro00:39:34 Honoring Lost Loved Ones00:48:11 Peptides & Health00:50:00 Remembering Ryan00:52:32 Training Regrets & 4-Day Splits00:58:18 Managing the Off-Season01:04:15 Designing an Off-Season Cycle01:16:30 Pharma vs. Generic GH01:25:31 Does GH Cause Distension?01:30:31 PEDs to Avoid01:32:25 Peptides That Actually Work01:37:38 GLP-1s in Bodybuilding01:44:51 Post-Show Rebound Strategies01:48:35 Orals at the End of Prep01:52:05 Genetics in Open Bodybuilding01:57:13 Genetic Testing for Athletes01:59:29 Building Huge Hamstrings02:04:35 Deloading vs. Total Rest02:05:36 Organ Health Supplements02:07:14 Bodybuilding & Relationships02:08:35 Underrated Prep Foods02:09:37 Final Message to the World

"If you build AI on top of weak foundations, you're going to have a very broken system." - Gaël De Martelaere, Chief Procurement Officer, Hexion AI is driving enormous change in procurement, but success relies on more than just new tools. The real challenge is rebuilding the foundations (data, process, and team mindsets) while still delivering results for the business today. In this episode, Gaël De Martelaere, CPO at Hexion, joins Philip Ideson to share how his team is moving beyond traditional procurement and redefining value for both customers and stakeholders. Gaël brings decades of experience, a healthy dose of curiosity, and a pragmatic focus on experimentation, not perfection. In this episode, Gaël also speaks about: -Transforming procurement to support broader business reinvention -Rebuilding foundational processes with AI in mind -Building digital fluency and accountability at every level -Focusing on experimentation over multi-year perfection plans -Why curiosity and sound judgment matter now more than ever   Links: Gaël De Martelaere on LinkedIn: https://www.linkedin.com/in/gaeldemartelaere/  Subscribe to the AOP Newsletter: https://resources.artofprocurement.com/art-of-procurement-podcast-subscribe  Subscribe to Art of Procurement on YouTube: https://www.youtube.com/@ArtofProcurement   

Why does your team go right back to their old habits the week after training ends?In this episode of Learning for Good, I break down how nonprofit leaders can design training that leads to lasting workplace behavior change instead of a short-lived bump in knowledge. Most training ends the same way. People show up, they learn something new, and within a few weeks it is like the training never happened. If this sounds familiar, you are not alone, and it is not because your training was bad. What matters is designing for what happens after training ends, so the learning people carry with them actually changes what they do on the job.▶️ How to Make Learning Last: Designing for Workplace Behavior Change▶️ Key Points:00:00:00 How to Make Learning Last00:05:03 The Real Goal of Nonprofit Staff Training and Development00:05:36 The Four Gears of Lasting Behavior ChangeResources from this episode:Episode mentioned:E193: Why Staff Need a Reason to Change BehaviorJoin the free, virtual Nonprofit L&D Collective networking event: https://www.skillmastersmarket.com/join-the-nonprofit-learning-and-development-collective Join the Nonprofit Learning and Development Collective: https://www.skillmastersmarket.com/nonprofit-learning-and-development-collectiveConnect with HeatherLinkedIn: Heather BurrightWebsite: skillmastersmarket.comBook an interest call with Heather here.⭐Was this episode helpful? If you're listening on Apple Podcasts or Spotify, follow and leave a review!