Podcasts about why chatgpt

This Capricorn Full Moon (June 29, 2026) asks you to hold two opposite truths at once: expansion in one hand, restraint in the other, yes and not yet, both true at the same time. In this Moon Musings episode we go beyond the horoscope into the decan, the mythology, the asteroids, medical astrology and herbal medicine, and what shifts the moment Jupiter crosses into Leo just hours later. Stay to the end for an Akashic Oracle reading for all 12 signs (tune in to your Sun and Rising).

In this Karma School of Business crossover episode, Sean Mooney is joined by Lloyd Metz, Managing Partner of ICV Partners; Doug McCormick, Managing Partner of Oridian Capital Partners; James Aylward, Chief Product and Technology Officer at BluWave; and Nathan Plummer, Co-Executive Director of Venture Café Global Institute. The group explains how AI moved from long-running concept to practical business tool, and what that means for private equity firms and portfolio company leaders right now. They cover agentic AI, data readiness, applied AI use cases, internal tooling, security concerns, and the leadership challenge of getting teams to adopt new ways of working. This is a practical conversation for business builders who want to move past AI hype and start creating real value—hit play. Episode Highlights 2:13 - James Aylward's path from Fidelity's AI incubator to BluWave's technology strategy 5:08 - Nathan Plummer on Venture Café's role in connecting startups, investors, and innovators 9:17 - Why ChatGPT marked a "Gutenberg moment" after decades of slower AI progress 13:10 - AI shifts from autocomplete and thought partnership to writing major chunks of code 18:06 - Applied AI moves beyond efficiency into biotech, robotics, imaging, and new product creation 23:28 - Why proprietary data may become the real moat for private equity-backed companies 35:42 - AI literacy, adoption, and the leadership work required to make tools stick 44:05 - BluWave's internal AI tool shows how company data can power faster decisions For information on Oridian Capital Partners, go to https://oridiancapital.com/ For information on ICV Partners, go to https://www.icvpartners.com For information on BluWave, go to https://www.bluwave.net

Does online therapy actually work? Or is it just a pandemic hangover? Therapist Stephanie McAllister joins me to talk about virtual counselling, finding the right fit, crying on camera, car sessions, and why ChatGPT isn't a substitute for human support. In this episode we talk about: • Online therapy vs in-person counselling • Whether virtual counselling actually works • Doing therapy from your car (yes, really) • Why finding the right therapist matters • One bad experience doesn't mean therapy isn't for you • Small-town privacy and avoiding awkward supermarket encounters • Why tears aren't something to apologise for • The pros and cons of online counselling • Why ChatGPT isn't your therapist • Accessing specialist support from anywhere Find out more about Stephanie here: https://virtualconnect.ca/  Find out more about Suzanne here: https://www.suzanneculberg.com/  Want to be a guest on The Nope Coach? Send Suzanne Culberg a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/thenopecoach 

Most nutritionists are using AI. Very few are using it in a way that actually saves time!   In this episode, Stephanie breaks down five things that make the biggest difference when it comes to using AI to save time in your nutrition business, including why the platform you're using might be quietly working against you, and how to set things up so AI sounds like you from the first draft instead of the fifth.   This episode is also a preview of Stephanie's upcoming live AI Workshop, where she walks through the full implementation together. Details and registration link below!   In this episode, you'll learn: Why ChatGPT and Claude produce very different results and which one is actually better for nutrition businesses What a brand book is and why setting one up cuts your editing time dramatically How to turn one piece of long-form content into a full week of marketing material without starting from scratch What Claude Skills are and how they keep you from re-explaining your business every single time you sit down to create Quick AI wins you can start using this week for client communications, content planning, and repurposing old content Links and resources mentioned:   Register Here: AI For Nutritionists Workshop on June 16, 2026   Get fully booked and make consistent income inside Booked Out Nutritionist   Save $100 on Launch Your Nutrition Biz with code PODCAST in the checkout   Watch Stephanie's free workshop 6 Steps to Start Your Nutrition Business & Sign Your First Paying Clients  

If ChatGPT is still the only AI tool you're using, this episode will help you take the next step. In this episode of The Online Course Show, I'm sharing the AI tools I'm actually using in 2026. Not a giant list of random apps. Just the ones that are saving me time and changing how I work. I talk about why I've been using Claude as my daily driver AI, how to get better results with simple prompting habits, why “do research” is one of my favorite phrases to add to a prompt, and how Wispr Flow has made it much easier to give AI the context it needs. I also walk through Claude Cowork, how I use Rocky in my own business, why Pikzels has become part of my YouTube workflow, and why Claude Code is worth trying even if you don't think of yourself as a coder. If AI feels overwhelming, don't try to learn everything at once. Pick one tool. Try one workflow. Build from there. IN THIS EPISODE • Why ChatGPT is only the beginning • Why I'm using Claude as my main AI tool • How to use “do research” to get better answers • Why AI can sound confident and still be wrong • How to use ELI5 prompts • How to make AI review your work from your audience's perspective • Why Wispr Flow makes prompting faster • What Claude Cowork does • How Pikzels helps with YouTube thumbnails • Why Claude Code is useful beyond coding CHAPTERS 00:00 Why ChatGPT is only the beginning 01:57 Claude as my daily driver AI 05:42 Prompting tips that make AI more useful 08:54 A simple demo of AI guessing confidently 11:15 ELI5 and audience-review prompts 15:45 Wispr Flow and voice-first prompting 19:24 Claude Cowork and AI agents 22:36 Pikzels for YouTube thumbnails 25:30 Claude Code for apps and bigger projects 29:15 Where to start if AI feels overwhelming LINKS AND RESOURCES Claude: https://claude.com/download Wispr Flow: https://wisprflow.ai/r?JACQUES92 Pikzels: https://pikzels.com/?via=jacques63 Watch on YouTube: https://youtu.be/AzQiZEiQF-8 Get your Personalized AI Game Plan: https://jacqueshopkins.com/ai-start Some links may be affiliate links, which means I may earn a commission at no extra cost to you.

Are you using ChatGPT, AI, or a generic meal plan to figure out what your gymnast should be eating?AI can be helpful for a lot of things, but when it comes to your gymnast's nutrition, growth, development, injuries, training load, and recovery, there are major limitations parents need to understand.In this episode, Christina kicks off a four-part series on what ChatGPT and AI do not know about your gymnast's nutrition.Because while AI may sound confident, polished, and helpful, it cannot properly assess your gymnast's growth chart, puberty progression, injury history, under-fueling patterns, or what they actually need to grow, recover, and adapt to training.And when a gymnast is already under-fueled, a generic AI-generated meal plan can give parents a false sense of security while missing the deeper issue.In this episode, Christina breaks down why growth is one of the biggest clinical indicators of whether a gymnast is getting enough nutrition, why height and weight cannot be looked at in isolation, and why automated nutrition advice often falls short for pediatric and adolescent athletes.Because your gymnast does not just need enough fuel to get through practice.They need enough fuel to grow, develop, repair, recover, stay healthy, and actually get stronger from the work they are putting in.In this episode, we cover:❗ Why AI cannot replace individualized support from a qualified healthcare provider❗ Why ChatGPT-generated meal plans can be risky for gymnasts❗ Why your gymnast's growth chart matters more than one height or weight measurement❗ Why “not losing weight” does not mean your gymnast is properly fueled❗ How under-fueling can show up as slowed growth, stalled development, injury, fatigue, and poor recovery❗ Why generic calorie calculators often miss what gymnasts actually need❗ Why pediatric and adolescent nutrition is different from adult sports nutrition❗ How AI can create a false sense of security for parents❗ Why labs, meal plans, and nutrition recommendations need to be individualized❗ Why the right support looks at your gymnast's full history, not just what they eat in a dayAI may have its place, but it cannot understand your gymnast the way an experienced pediatric and adolescent sports dietitian can.Your gymnast is not a generic athlete.They are a growing, developing child or teen with unique needs, training demands, injury history, preferences, challenges, and goals. And their nutrition needs to reflect that.Links & ResourcesThe Balanced Gymnast® Program (Level 5–10)Connect with Christina on Instagram @the.gymnast.nutritionist christinaandersonrdn.com

People are already using AI during divorce whether attorneys like it or not.They're asking ChatGPT to:analyze texts from their exexplain legal documentshelp write co-parenting responsesbuild parenting schedulesorganize timelinesprepare for mediationand sometimes… emotionally spiral at 2amSo where's the line between using AI strategically and using it in a way that could quietly damage your case?Leave us a review!

Fresh out of the studio, Geoffrey Cain, author of Steve Jobs in Exile and Samsung Rising, returns to the Analyse Podcast to argue that the twelve years between Jobs's 1985 ouster and his 1997 return to Apple were not a footnote but the forge. Drawing on private archives at Carnegie Mellon and Stanford, unbroadcast footage from inside NeXT, and interviews with the people who lived it, Cain reframes the wilderness decade as the cause, not the gap, in Jobs's transformation. We trace the NeXT collapse and the failed IBM licensing deal, the parallel crucible of Pixar where Catmull and Lasseter barred Jobs from creative meetings, and the deep Japanese and Zen influences — Akio Morita, Sony, the beginner's mind — that Isaacson and Schlender underplayed. We close on Apple at fifty, John Ternus's ascent, and what Jobs would have done with AI. "The successes that we see in the world for every iPhone there is, for every SpaceX rocket there are perhaps dozens or maybe even hundreds of failures behind that we don't see. And so the wilderness, as they call it, this is the greatest moment in the lives of many founders. It's the wilderness that we all have to go through before we can achieve greatness, and if we don't go through that, then we don't learn those lessons." - Geoffrey Cain Profile: Geoffrey Cain, author of "Steve Jobs in Exile"LinkedIn: https://www.linkedin.com/in/gcain/Personal Site: https://geoffreycain.net/Episode Highlights: [00:00] Quote of the Day by Geoffrey Cain, author of Steve Jobs in Exile [00:30] What Geoffrey has been up after his first book: Samsung Rising [04:05] Working in the US House on technology policy & rebuilding America's industrial base [04:50] De-industrialisation, and rebuilding America's industrial base [05:24] The central thesis on Steve Job's exile [07:13] The Steve Jobs we don't know — before the turtleneck and the iPhone[09:07] The wilderness — where every great founder is forged[12:30] The failed coup against John Sculley[14:10] Was Jobs early or wrong about what universities needed?[16:31] Object-oriented programming — the real innovation Jobs couldn't see[18:36] Jobs of 1997 was not the Jobs of 1985[20:00] Technology does not change the world — it makes things easier[22:38] The butterfly effect — if NeXT had gone differently, no iPhone[25:13] A failure of ego — Jobs versus the company he hated[28:49] NeXTstep — twenty years into the future in 1990[32:24] Pixar as the parallel crucible — bought for $5 million[35:25] Toy Story and the IPO that made Jobs a billionaire[38:57] What the NeXT and Pixar years really reveal[40:38] Three biographies, three frames — Isaacson, Schlender, Cain[45:26] Why NeXT became the ugly duckling of Apple lore[48:12] The Japanese influence Isaacson never pulled on[51:30] Apple at fifty — Ternus and the era of execution over reinvention[54:11] How Jobs would integrate AI — quiet, in the background[55:10] The Apple-Google Gemini partnership and swallowed pride[56:38] Jobs as second mover — Macintosh, iPhone, the bicycle for the mind[57:30] Why ChatGPT and Claude would look ugly to Jobs[1:00:30] What NeXT veterans say about the Ternus appointment[01:02:33] What success means for the book[01:03:13] Closing Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast.Analyse Podcast Main Site: https://analysepodcast.com

We talk a lot on this show about supplements, hormones, food, sleep, and protocols. But there is a layer underneath all of that we have not gone deep on until now. Our beliefs. Who we think we are. Why we are here. And the quiet, unconscious story running the show every single day. In this episode, Natalie sits down with her own therapist Mcayla Sarno, an EMDR specialist who has spent almost twenty years helping women get to the root of the beliefs that are silently shaping their bodies, their relationships, their purpose, and their health. Natalie also shares the very personal EMDR story that changed her life. The memory with her mom in the car. The belief she did not even know she was carrying. And what shifted when she finally looked at it through different eyes. This is a real conversation about why so many of us hit midlife feeling lost, why the empty nest hits harder than anyone warned us, what is actually happening when we try to control everything, and why a therapist asking the right question will always do something ChatGPT cannot. We talk about how core beliefs form, how they show up in the body, and the work it takes to finally come home to who we have always been underneath all of it. If you have been feeling like you have done all the outer work and something inside still is not clicking, this is the episode for you. WE GO DEEP ON •  What EMDR actually is and why it is not just for trauma •  The difference between understanding something and integrating it •  How core beliefs form and why they generalize to every area of our life •  The connection between unresolved beliefs and chronic health issues •  Why ChatGPT will never replace a real therapist asking the right question •  The empty nest grief nobody talks about and the mini mourning of every version of our kids •  Why control feels safe but never actually makes us safe (and what does) •  How external validation becomes the trap of our 30s and 40s and breaks open in our 50s •  The infant question that reframes everything: were you good enough the day you were born •  Natalie's personal EMDR story, the car memory with her mom, and the belief she was carrying •  Why 5-day intensives work when weekly therapy has not •  "I always was. I already am." The reframe every midlife woman needs Learn More About Mcayla Sarno Instagram ➜ https://www.instagram.com/drmcayla  Website ➜ http://drmcayla.com/    Thank you to our show sponsors:  MITOQ: Take control of healthy aging and longevity. Get 10% off using code NATALIEJILL at checkout on https://www.mitoq.com/  LEELA QUANTUM: Get 10% off your first Leela Quantum order with the code NATALIEJILL at checkout  at https://midlifeconversations.com/leela   SUNLIGHTEN: Sleep better. Recover faster. Stress less. Get Sunlighten infrared saunas HERE https://sunlighten.com  and use code NATALIEJILL to save up to $1,400!    Free Gifts for being a listener of Midlife Conversations! Mastering the Midlife Midsection Guide: https://theflatbellyguide.com/ Age Optimizing and Supplement Guide: https://ageoptimizer.com   Connect with me on social media! Instagram: www.Instagram.com/Nataliejllfit Facebook: www.Facebook.com/Nataliejillfit   For advertising inquiries: https://www.category3.ca/  Disclaimer: Information provided in the Midlife Conversations podcast is for informational purposes only. This information is NOT intended as a substitute for the advice provided by your physician or other healthcare professional. Do not use the information provided in this podcast for diagnosing or treating a health problem or disease, or prescribing medication or other treatment. Always speak with your physician or other healthcare professional before making any changes to your current regimen.  Information provided in this podcast and the use of any products or services related to this podcast does not create a client-patient relationship between you and the host of Midlife Conversations or you and any doctor or provider interviewed and featured on this show. Information and statements may have not been evaluated by the Food and Drug Administration and are not intended to diagnose, treat, cure, or prevent ANY disease. Advertising Disclosure: Some episodes of Midlife Conversations may be sponsored by products or services discussed during the show. The host may receive compensation for such advertisements or if you purchase products through affiliate links. Opinions expressed about products or services are those of the host and/or guests and do not necessarily reflect the views of any sponsor. Sponsorship does not imply endorsement of any product or service by healthcare professionals featured on this podcast.

What if AI was never meant to replace your intelligence… but expand it?   In this powerful episode of The Shiny Minds Show, I break down the BIG 3 AI tools shaping the future of business, coaching, creativity, and leadership in 2026: Gemini, Claude, and ChatGPT, and exactly how to use each one strategically instead of randomly.   Because successful people are no longer just “using AI.” They are orchestrating intelligence.   Inside this episode, I share: ✨ Why Gemini is the ultimate pattern recognition powerhouse ✨ Why Claude excels at deep strategy, documentation, and executive thinking ✨ Why ChatGPT is the execution engine that turns ideas into deliverables ✨ How to combine all three tools for maximum productivity and creativity ✨ The future of AI-powered coaching, leadership, and entrepreneurship ✨ Why your HUMAN intelligence still matters more than ever ✨ How to integrate AI without losing your soul, creativity, or identity   As an ICF Master Certified Coach, NLP Trainer, and founder of Neuro-Shine Technology™, I believe AI should never replace human wisdom. It should amplify it.   This episode is for: ✔ Coaches ✔ Entrepreneurs ✔ Leaders ✔ Creators ✔ Consultants ✔ Speakers ✔ Visionaries ✔ Anyone who wants to future-proof their career and business in the AI era   Because the future belongs to those who can blend:

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AI is rapidly becoming part of how patients navigate complex illness—but most people are using it without understanding how it actually works, what it's designed to do, or where it can fail.In this episode of Long Covid, MD, Dr. Zeest Khan is joined by two experts:Dr Leeda Rashid (former FDA physician, digital health) Dr Jennifer Curtin (CEO of RTHM Health) The discussion breaks down: What AI is already doing inside healthcare (and why that's different from what you use at home)  Why tools like ChatGPT, Claude, and Gemini are not medical devices The risks of trusting AI-generated answers for diagnosis and treatment  How specialized tools like RTHM Intelligence attempt to address these gaps  The privacy trade-offs when sharing your medical data with AI  How to use AI safely and effectively as a patient This episode is a practical framework for using AI as a thinking partner—not a decision maker.⏱️ Chapter Markers00:00 – Why patients are turning to AI 03:15 – How AI is actually used in healthcare (FDA perspective) 07:30 – Why ChatGPT and similar tools aren't medical devices 15:30 – Specialized AI tools vs general AI (RTHM example) 24:50 – Risks: hallucinations, bad advice, and doctor tension 26:30 – Privacy and HIPAA: what happens to your data 38:25 – How to use AI safely in your careSupport the showSubscribe for free written summaries of each episode, resources, and more.  LongCovidMD.substack.com/subscribeSupport by donating at BuyMeACoffee

My team builds you a $167K/month client machine in 8 weeks. You just approve it. Interested?  → https://jointherainmakers.com/choosetime?utm_src=organicyoutube AI is killing your coaching business. Not because you're not using it. Because you're using it the same way everyone else is, and it's making you invisible. n this video, I'm breaking down the 3 biggest mistakes coaches make with AI that are costing them clients, killing their conversions, and turning their marketing into generic noise. And I'm showing you exactly how to fix it. Most coaches think they're ahead because they're using ChatGPT to create content. They're posting more. They're "automating." They feel productive. But productive and profitable are not the same thing. And while you're churning out AI-generated posts that sound like everyone else, coaches who understand how to use AI strategically are taking your clients. Here's what you're getting in this video: Why AI-generated content is making you invisible (and what to do instead) The 3 AI mistakes that are costing you thousands per month in invisible losses How to use AI to sharpen your positioning instead of just producing more content The hierarchy of what to automate first (most coaches have this backwards) Why ChatGPT is not your business partner and what to use instead The difference between generic AI tools and purpose-built AI systems for coaching businesses How the coaches pulling away from the pack are using AI right now I've audited over 100 coaching businesses in the last 3 months. The pattern is clear: coaches who adopted AI early thought they were ahead, and now their content gets ignored, their funnels convert worse, and their sales calls have dried up. It's not an AI problem. It's a strategy problem. The coaches winning right now aren't the ones with the flashiest AI setup. They're the ones who automated the boring, high-leverage stuff that directly touches revenue. Speed to lead. Sales prep. Delivery admin. The things that actually make money. I'm Chris Dufey, founder of The Rainmakers. We build full marketing ecosystems for coaches and consultants. I've built and sold a multi-7-figure coaching business, been behind the scenes of 7, 8, and 9-figure online businesses, and right now we're deep in the trenches building AI-powered systems that actually move the needle. I started sleeping on a couch with my baby daughter, wondering how I'd make rent. Built my first business to multi-7-figures, sold it, then spent years getting paid $25K/month retainers to fix some of the biggest info-businesses on the planet. Scaled my consulting offer to $1M/year in 63 days. Launched an agency, took it to $200K/month in under 90 days, then burned it all down because "bigger" doesn't always mean "better." Now I live between Bali and Australia with my four daughters, work 2-4 hours a day, and help coaches install the systems that gave me my freedom back. The window where "using AI" is enough is closing fast. The question isn't whether you're using it. It's whether you're using it in a way that makes you uncopyable. Instagram: https://www.instagram.com/wearetherainmakers Facebook: https://www.facebook.com/wearetherainmakers LinkedIn: https://www.linkedin.com/company/the-rainmakers Website: https://wearetherainmakers.com

My team builds you a $167K/month client machine in 8 weeks.  You just approve it. Interested? → https://jointherainmakers.com/chooset...  AI is killing your coaching business. Not because you're not using it. Because you're using it the same way everyone else is, and it's making you invisible. n this video, I'm breaking down the 3 biggest mistakes coaches make with AI that are costing them clients, killing their conversions, and turning their marketing into generic noise. And I'm showing you exactly how to fix it. Most coaches think they're ahead because they're using ChatGPT to create content. They're posting more. They're "automating." They feel productive. But productive and profitable are not the same thing. And while you're churning out AI-generated posts that sound like everyone else, coaches who understand how to use AI strategically are taking your clients. Here's what you're getting in this video: Why AI-generated content is making you invisible (and what to do instead) The 3 AI mistakes that are costing you thousands per month in invisible losses How to use AI to sharpen your positioning instead of just producing more content The hierarchy of what to automate first (most coaches have this backwards) Why ChatGPT is not your business partner and what to use instead The difference between generic AI tools and purpose-built AI systems for coaching businesses How the coaches pulling away from the pack are using AI right now I've audited over 100 coaching businesses in the last 3 months. The pattern is clear: coaches who adopted AI early thought they were ahead, and now their content gets ignored, their funnels convert worse, and their sales calls have dried up. It's not an AI problem. It's a strategy problem. The coaches winning right now aren't the ones with the flashiest AI setup. They're the ones who automated the boring, high-leverage stuff that directly touches revenue. Speed to lead. Sales prep. Delivery admin. The things that actually make money. I'm Chris Dufey, founder of The Rainmakers. We build full marketing ecosystems for coaches and consultants. I've built and sold a multi-7-figure coaching business, been behind the scenes of 7, 8, and 9-figure online businesses, and right now we're deep in the trenches building AI-powered systems that actually move the needle. I started sleeping on a couch with my baby daughter, wondering how I'd make rent. Built my first business to multi-7-figures, sold it, then spent years getting paid $25K/month retainers to fix some of the biggest info-businesses on the planet. Scaled my consulting offer to $1M/year in 63 days. Launched an agency, took it to $200K/month in under 90 days, then burned it all down because "bigger" doesn't always mean "better." Now I live between Bali and Australia with my four daughters, work 2-4 hours a day, and help coaches install the systems that gave me my freedom back. The window where "using AI" is enough is closing fast. The question isn't whether you're using it. It's whether you're using it in a way that makes you uncopyable.  Instagram: https://www.instagram.com/wearetherainmakers Facebook: https://www.facebook.com/wearetherainmakers LinkedIn: https://www.linkedin.com/company/the-rainmakers Website: https://wearetherainmakers.com

Zapier is doing hundreds of millions in ARR, has 800 employees, and has more AI agents than people. That ratio isn't an accident. Wade Foster, CEO and co-founder of Zapier, built one of the most capital-efficient software companies in history on less than $1 million in venture funding. When GPT-4 launched in March 2023, he called a company-wide "code red" (a term he'd never used before) and stopped the entire company for a week-long hackathon. What happened next reshaped how Zapier hires, operates, prices its product, and thinks about the future of software. In this episode of Founded & Funded, Karan Mehandru sits down with Wade to unpack: Why ChatGPT didn't trigger urgency at Zapier, but GPT-4 did — and the specific signal Wade used to make that call How Zapier went from 10% AI tool adoption to 90%+ across the company in a single week The pricing overhaul that simplified Zapier's model around task-based usage and why agents made seat-based pricing structurally broken Why Zapier's head of HR became the Chief People and AI Transformation Officer, and what that reveals about who actually leads change inside organizations The "build first, run always" framework Wade uses for deploying AI agents safely inside enterprise workflows For founders and operators navigating their own AI transformation, this is a practical, unfiltered look at what it actually takes from a CEO who's in the middle of it. Full Transcript: https://www.madrona.com/zapier-has-more-ai-agents-than-employees-heres-how-that-happened Chapters:  (00:00) – Introduction (01:44) – Zapier Today: Hundreds of Millions ARR, 800 Employees, More Agents Than People (06:16) – Why ChatGPT Didn't Trigger Urgency — But GPT-4 Six Months Later Did (07:12) – Code Red: Stopping the Entire Company for a Week-Long AI Hackathon (08:00) – How Zapier Moved AI Adoption From 10% to 90% of Employees in One Week (10:11) – Managing the Psychology of Change When Numbers Still Look "Okay" (13:11) – Why Companies in the Middle Ground Face the Hardest AI Transformation Problem (15:01) – From Bottoms-Up Adoption to Systematic ROI: The Two-Phase AI Rollout (17:00) – Why Zapier's Head of HR Became the Chief AI Transformation Officer (19:54) – Refactoring the Legacy Monolith: Writing Code for Agents Instead of Humans (21:25) – Zapier's Pricing Overhaul: Why Task-Based Usage Beats Seat Pricing (23:26) – Why Agents Will Choose What Software to Buy — and What That Does to SaaS (28:03) – The Build-First, Run-Always Framework for Enterprise Agent Governance (29:40) – Wade's AI Hiring War Council: A Multi-Agent System He Built That Morning (34:14) – The Leadership Profile That Thrives When the Job Is Rebuilding, Not Scaling (40:08) – If You're Starting a Company Today, Distribution Is the Bottleneck (42:10) – Why AI Deals Are Hard to Renew and the Rise of the Field Delivery Engineer

If you have been curious about AI but have no idea where to start, or you have been avoiding it altogether because it feels overwhelming or risky, this episode is for you. I am walking you through everything a counsellor, psychologist, or social worker in private practice needs to know about AI right now. What it actually is in plain English, what ChatGPT and Claude are and how they are different, the fears I hear from therapists every single week and which ones are worth taking seriously, the mistakes that are happening in real time that you want to avoid, and the genuine possibilities sitting right in front of you. And I am celebrating the launch of something I have been building for months: the Private Practice Resource Hub. A dedicated space where therapists can explore AI, access practical tools to help fill their diary and market their practice, learn the basics, and get training when they are ready. This is not a techy episode. It is a real conversation about a shift that is already happening, and how you can be part of it.   IN THIS EPISODE What AI actually is, explained without jargon or overwhelm. Why ChatGPT and Claude are the two tools I recommend for therapists in private practice and how they differ from each other. The fears therapists have about AI, including confidentiality, authenticity, and being replaced, and what to do with each of them. The mistakes that are already happening that could put your ethics and your reputation at risk. The time-saving possibilities that are available to you right now in your business. And a full introduction to the Private Practice Resource Hub, newly launched and built specifically for therapists.     THE ONE RULE YOU NEED TO REMEMBER Never put client information into an AI tool. Not names, not identifying details, not session content. Your ethical obligations do not pause because a tool is convenient. AI is for the business side of your practice, not the clinical side. Everything else is an opportunity.   WHAT IS THE PRIVATE PRACTICE RESOURCE HUB? The Private Practice Resource Hub is a dedicated space for therapists in private practice who want to explore AI, access ready-to-use tools, build their knowledge, and learn at their own pace. Inside you will find practical tools built to help you fill your diary and market your practice, AI basics content, and training you can access when you are ready. It is designed to meet you where you are, whether you are brand new to AI or already dabbling and want to go deeper. Join the Hub here: https://www.skool.com/private-practice-resource-hub   LINKS MENTIONED IN THIS EPISODE Private Practice Resource Hub: https://www.skool.com/private-practice-resource-hub Website: https://brooklynstorme.com Free Private Practice Marketing Quiz: https://brooklyn.myflodesk.com/moreclients Free Private Practice Quiz: https://brooklyn.myflodesk.com/pmquiz Website Wellness Check: https://sales.brooklynstorme.com/wwc-aud/ AI Playbook for Therapists: https://sales.brooklynstorme.com/aiplaybook/     CONNECT WITH ME Website: https://brooklynstorme.com Podcast: https://brooklynstorme.podbean.com/ Facebook Business Page: https://www.facebook.com/brooklynstormephd/ Facebook Profile: https://www.facebook.com/drbrooklynstorme/   ABOUT DR BROOKLYN STORME I am Dr Brooklyn Storme PhD, a business coach for counsellors, psychologists, and social workers in Australia who want to start, grow, and scale their private practice. I have over 30 years of experience in private practice and I am passionate about helping therapists build sustainable, profitable businesses without burning out. The Practice Momentum Private Practice Podcast is in the top 5% of podcasts globally with 500+ episodes.     AI in private practice, ChatGPT for therapists, Claude AI for counsellors, artificial intelligence therapy, private practice marketing Australia, counsellor business tools, psychologist private practice, social worker private practice, AI tools mental health professionals, Private Practice Resource Hub, AI ethics therapists, client confidentiality AI, practice momentum podcast, Dr Brooklyn Storme, fill your therapy diary, therapy business automation, AI content creation therapists, grow private practice Australia, ChatGPT prompts for therapists, private practice business coach

Grab our High-Converting Proposal Template and learn what to include (and what to leave out) to turn more of your proposals into higher-paying clients. ⁠https://webdesigneracademy.com/template⁠ February 2026 Income Report: $26K, Money Mindset, and the Scary Things Worth Doing In this episode, I pull back the curtain on February 2026... $26,735 in revenue, $23,015 in expenses, and everything behind the numbers. This isn't just a money update. It's a real look at the mindset work, the pivots, and the moves that felt terrifying and necessary at the same time. From the discovery that writing is my queen bee role, to the decision to release a free Package Matrix™ template, to finally launching on TikTok after years of avoidance... this episode covers the real behind-the-scenes of running a profitable business when your thoughts about money are still a work in progress. What You'll Learn Why perfectionism keeps prices low and how to spot the pattern in yourself Why using ChatGPT for mindset coaching can create an echo chamber that makes things worse What a queen bee role is and how identifying yours can change your business Why Shannon is releasing a free Package Matrix™ template and what fear I had to work through to do it How to identify your "hidden competing commitments" that are blocking you from doing the scary thing Key Timestamps [00:01] Welcome & what money mindset really means [07:20] Why ChatGPT is a problematic mindset coach [10:43] February inflow, outflow and overflow [18:33] Queen bee role discovery [37:19] The Package Matrix™ free template [41:26] Why I'm finally on TikTok @profitablewebdesigner Resources Mentioned ⁠Web Designer Academy⁠ - Business coaching programs for women web designers ⁠Next Level Mastermind⁠ - For experienced web designers ready for their next level ⁠Simply Profitable Designer Summit⁠ - Free annual summit for web designers ⁠5 Proposal Mistakes Guide⁠ - Free guide Related Episodes ⁠Episode 183: Pricing Strategy: Inside The Package Matrix Framework⁠ ⁠Episode 182: January 2026 Income Report⁠ ⁠Episode 180: The Truth About Pricing with Melina Palmer⁠ About Shannon Mattern Shannon Mattern is a Pricing Strategist and the founder of the Web Designer Academy where she helps experienced women web designers book higher-paying web design projects, charge more with confidence, run projects without overworking and burnout and break through to their next level of income and freedom. For Web Designers: ⁠https://webdesigneracademy.com⁠ For Service Providers, Consultants & Agencies: ⁠https://shannonmattern.com⁠ Tiktok: @profitablewebdesigner | @shannonlmattern

Grab our High-Converting Proposal Template and learn what to include (and what to leave out) to turn more of your proposals into higher-paying clients. https://webdesigneracademy.com/template February 2026 Income Report: $26K, Money Mindset, and the Scary Things Worth Doing In this episode, I pull back the curtain on February 2026... $26,735 in revenue, $23,015 in expenses, and everything behind the numbers. This isn't just a money update. It's a real look at the mindset work, the pivots, and the moves that felt terrifying and necessary at the same time. From the discovery that writing is my queen bee role, to the decision to release a free Package Matrix™ template, to finally launching on TikTok after years of avoidance... this episode covers the real behind-the-scenes of running a profitable business when your thoughts about money are still a work in progress. What You'll Learn Why perfectionism keeps prices low and how to spot the pattern in yourself Why using ChatGPT for mindset coaching can create an echo chamber that makes things worse What a queen bee role is and how identifying yours can change your business Why Shannon is releasing a free Package Matrix™ template and what fear I had to work through to do it How to identify your "hidden competing commitments" that are blocking you from doing the scary thing Key Timestamps [00:01] Welcome & what money mindset really means [07:20] Why ChatGPT is a problematic mindset coach [10:43] February inflow, outflow and overflow [18:33] Queen bee role discovery [37:19] The Package Matrix™ free template [41:26] Why I'm finally on TikTok @profitablewebdesigner Resources Mentioned Web Designer Academy - Business coaching programs for women web designers Next Level Mastermind - For experienced web designers ready for their next level Simply Profitable Designer Summit - Free annual summit for web designers 5 Proposal Mistakes Guide - Free guide Related Episodes Episode 183: Pricing Strategy: Inside The Package Matrix Framework Episode 182: January 2026 Income Report Episode 180: The Truth About Pricing with Melina Palmer About Shannon Mattern Shannon Mattern is a Pricing Strategist and the founder of the Web Designer Academy where she helps experienced women web designers book higher-paying web design projects, charge more with confidence, run projects without overworking and burnout and break through to their next level of income and freedom. For Web Designers: https://webdesigneracademy.com For Service Providers, Consultants & Agencies: https://shannonmattern.com Tiktok: @profitablewebdesigner | @shannonlmattern

In this video, we break down what OpenAI's new ChatGPT ads mean for B2B marketers, and why it's probably not the performance channel you should be betting on in 2026.We cover:→ The background behind OpenAI's push into advertising and why they're starting with B2C→ Why ChatGPT ads are unlikely to impact B2B marketing anytime soon (ad-free business/enterprise tiers, limited tracking, shopping-focused formats)→ How buyer discovery is shifting from search + social toward AI assistants→ Our 3-point framework (based on the Five B's) to prepare your B2B marketing for the age of LLMsIf you are a B2B founder or marketer wondering whether you should be spending on ChatGPT ads, or trying to figure out how to get your brand surfaced in AI-driven search results, this episode is for you.Tune in and learn:✅ Why the fundamentals of trust-building and demand gen matter more than ever✅ How to tighten your ICP messaging so LLMs actually surface your brand✅ The content and distribution strategies that build organic visibility in ChatGPT✅ How to set up measurement and UTM practices now so you're ready when B2B ads do arrive-----------------------------------------------------

ChatGPT has pulled back from in-chat instant checkout — and the decision says a lot about where AI-powered commerce is actually heading.Rather than closing sales inside the conversation, OpenAI is shifting focus to app-based retailer connections, effectively acknowledging that consumer trust isn't there yet. Meanwhile, Google is doubling down on agentic commerce with cart functionality, full product catalogues, loyalty point integration, and one-click account creation — all within AI Mode.The contrast couldn't be sharper. And for e-commerce marketers, understanding what's really happening here is critical.Charlie Marchant (CEO of Exposure Ninja) and Dale Davies (Head of Marketing at Exposure Ninja) break down everything they know:Why ChatGPT's in-chat checkout was always going to struggle — and what the Shopify stat that likely triggered the retreat actually tells usHow ChatGPT is being used as a top-of-funnel discovery tool, and why users are completing purchases on Google insteadThe real conversion rate opportunity hiding in your ChatGPT traffic right now (hint: a UK window installer is seeing 7.3% conversion from ChatGPT versus 4.5% from organic search)Why Google has the trust advantage in agentic commerce — and how far ahead it already isWhere e-commerce marketers should be focusing their limited resource: informational content, product pages, or digital PRThe technical mistake even large brands are making that completely blocks them from AI search resultsCharlie's three key takeaways from speaking at eCommerce Scotland — including the Cloudflare configuration issue that's silently killing visibility for major retailersIf you run or market an eCommerce business, this episode cuts through the noise on where AI commerce is genuinely headed — and what you should be doing about it now, not when the dust settles.Follow Charlie Marchant on LinkedIn for the latest in AI Search Optimisation:https://www.linkedin.com/in/charliemarchant/Request a free marketing review:https://exposureninja.com/reviewTry Semrush for FREE:https://thankyouninjas.comListen to these episodes next:The BEST SEO Strategies for 2026https://exposureninja.com/podcast/368/The BEST AI Search Optimisation Strategies for 2026https://exposureninja.com/podcast/366/If My SEO Traffic Dropped, Here's Exactly What I'd Do https://exposureninja.com/podcast/378/

If you've been using ChatGPT and you're thinking about switching to Claude or another AI model, the biggest obstacle isn't the technology. It's the time you've already invested. This episode covers why people are leaving ChatGPT right now, why staying on the sidelines entirely isn't a real option, and the practical methods available for moving your personalization and workflows from one AI model to another without starting from scratch.Timestamps[0:00] Introduction[1:15] Why people are switching away from ChatGPT[3:30] The AI ethics and military controversy[5:45] Why ChatGPT is better at design (and the tradeoff behind it)[11:00] Why avoiding AI altogether isn't a real option[13:45] The challenge of switching[16:00] Method one: copy and paste a single chat[17:30] Method two: migrate project rules[19:00] Method three: account vs. memory import[21:15] How to ask AI for help switchingThe Claude Memory import feature!https://medium.com/ai-software-engineer/claude-just-launched-memory-import-now-you-can-cancel-chatgpt-faster-67d53ebacddb -- CONTACTLeave Feedback or Request Topics:https://forms.gle/bqxbwDWBySoiUYxL7

Scott Stevenson is the Co-founder and CEO of Spellbook.Spellbook is an AI copilot for contract review and drafting, essentially “Cursor for lawyers.” They have 4,000 customers in 80 countries, and to my knowledge is the fastest growing AI company in Canada, and the largest company in the world built on a Microsoft Word plugin.Scott has been building in legal AI longer than almost anyone. We talk about why legal software was essentially untouched before LLM's, why the market is so hot right now, if it's sustainable, and how Spellbook navigates product differentiation compared to horizontal AI products like ChatGPT.We talk about why fine-tuning your own models was one of the biggest mistakes early AI companies made, how to build a network effect as a vertical AI product, and Spellbook's philosophy of “Don't sharpen your axe when the chainsaw is coming out tomorrow”.Spellbook spent a few years finding PMF before really taking off in 2022, and Scott shares their playbook for launching over 100 product experiments in three years, how to know when to lean in, and what it's been like scaling Spellbook post-PMF.Thank you to Numeral and Flex for supporting this episode.Try Numeral, the end-to-end platform for sales tax and compliance: https://www.numeral.comSign-up for Flex Elite with code TURNER, get $1,000: https://form.typeform.com/to/Rx9rTjFzTimestamps:(0:30) Spellbook: “Cursor for Contracts”(3:08) Building the world's largest Microsoft Word plugin(14:06) Why legal software was untouched before LLMs(18:32) $30 trillion moves through contracts annually(20:51) Why ChatGPT won't replace vertical tools(25:15) Fine-tuning was the biggest mistake in AI(30:00) Differences between pro and amateur gamers(37:38) Top-down vs. bottoms-up in legal AI(42:27) The long-tail of legal AI software(47:24) Building for models that don't exist yet(51:20) Skating where the puck is going(1:01:35) The legal bill that cost 50% of his bank account(1:09:33) Testing 100 landing pages in 3 years(1:14:06) The moment Spellbook hit PMF(1:19:17) Building new brands for each product experiment(1:23:10) Raising a Series B with a tweet(1:27:41) What Scott learned from Keith Rabois(1:31:16) Scott's favorite new AI toolReferencedSpellbook: https://www.spellbook.legal/Careers at Spellbook: https://www.spellbook.legal/careersPlaying to Win by David Sirlin: https://www.amazon.com/Playing-Win-becoming-David-Sirlin/dp/1413498817Find the Fast Moving Water by NFX: https://www.nfx.com/post/find-the-fast-moving-waterSpellbook's case study with Replit: https://replit.com/customers/spellbookTwin: https://twin.so/Follow ScottTwitter: https://x.com/scottastevensonLinkedIn: https://www.linkedin.com/in/scottasBlog: https://blog.scottstevenson.net/Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

AI is changing how shoppers discover products, and Amazon sellers need to pay attention now. In this episode, Scott breaks down the rise of AI-driven product discovery through tools like Amazon Rufus and ChatGPT, and explains why visibility in AI answers is becoming a new layer of competition for sellers. He unpacks Amazon's Cosmo framework, including the key product-understanding questions AI systems use to evaluate listings, and introduces SmartScout's new tools built for this shift: the Amazon AI Scorecard and the AI Visibility Monitor. Scott explains how the scorecard audits your listing content across bullets, A+ content, and images to measure how well your product answers AI-relevant questions. He also shows how the visibility monitor tracks how often your products appear in ChatGPT recommendations over time, even when AI responses are inconsistent. Scott also shares how sellers can improve AI visibility through better listing content, stronger online presence, and a more intentional long-term strategy for LLM discovery. If you want to know whether your brand is winning the AI visibility race in your category, this episode lays out the framework. Episode Notes: 02:00 - Amazon Rufus adoption and what it could mean for product discovery 03:10 - ChatGPT shopping behavior and why AI shopping queries still matter 04:06 - Why AI shopping accuracy is not perfect yet, but still important 04:34 - Amazon Cosmo and the product questions AI systems use to understand listings 07:00 - The shift from keyword-only thinking to AI-ready product content 07:32 - SmartScout's Amazon AI Scorecard and how it evaluates listing quality 08:10 - How the scorecard creates a feedback loop for continuous improvement 10:23 - SmartScout's AI Visibility Monitor and tracking LLM recommendation share 12:40 - Why ChatGPT results are non-deterministic and how visibility percentage helps 14:53 - Creatine example: measuring AI visibility by niche and query type 16:23 - How to improve AI visibility through listing content and off-Amazon signals 17:44 - Why this matters for sellers, brands, and teams in 2026   Related Post Top 10 Amazon FBA Reimbursement Services to Recover Your Funds   Scott's Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up • • Blog: https://www.smartscout.com/blog

Are you using AI… or letting AI use you?

This week's podcast is about the big release of Seedance 2.0 by Bytedance.You can listen to this podcast here, which has the slides and graphics mentioned. Also available at iTunes and Google Podcasts.Here is the link to the TechMoat Consulting.Here is the link to our Tech Tours.Here are some videos I made (here).Here are the winners:Viewers. It's amazing. GPUs and data centers. Plus energy providers. IP holders that get lots of attention.   Independent creators who will get lots attention and creative satisfaction. Business content creators - especially in ads and content. Platform biz models. Audience builders like YouTube and TikTok. Plus marketplaces like Taobao.iQiyi and combinations of streaming and audience builders.Netflix and pure streamers (maybe). Here are the losers:Most professional production companies. Most tv and film studios. Basically, any business that has been relying on scale in content creation. Ad agencies focused on content creation.Individuals and firms with specialized skills related to tv and film production.Independent content creators trying to monetize Los Angeles?Hollywood's managerial class. Political activists embedded in entertainment.Here are my past articles / podcasts on this:Why ChatGPT and Generative AI Are a Mortal Threat to Disney, Netflix and Most Hollywood Studios (Tech Strategy – Podcast 150)How Generative AI Is Going to Disrupt YouTube and TikTok (Tech Strategy – Podcast 152). Jan 2023How Generative AI Services Are Disrupting Platform Business Models (1 of 2) (Tech Strategy – Daily Article)-------I am a consultant and keynote speaker on how to increase digital growth and strengthen digital AI moats.I am the founder of TechMoat Consulting, a consulting firm specialized in how to increase digital growth and strengthen digital AI moats. Get in touch here.I write about digital growth and digital AI strategy. With 3 best selling books and +2.9M followers on LinkedIn. You can read my writing at the free email below.Note: This content (articles, podcasts, website info) is not investment advice. The information and opinions from me and any guests may be incorrect. The numbers and information may be wrong. The views expressed may no longer be relevant or accurate. Investing is rSupport the show

In this episode, Jeff Mains sits down with KG Charles-Harris, a serial entrepreneur who has founded six companies across industries ranging from genomics to AI. KG is the founder and CEO of Quarrio, a deterministic AI platform that solves a critical problem: getting accurate, consistent answers from corporate data in seconds instead of weeks.KG shares his unconventional path to entrepreneurship, explaining how his companies emerge from late-night conversations with brilliant people who share a common problem. He breaks down the crucial difference between deterministic and probabilistic AI systems, making the case that when decisions involve real money, real lives, or real consequences, accuracy isn't optional—it's essential.Key Takeaways[0:00] Introduction to KG Charles-Harris and his multi-industry entrepreneurial journey[1:18] How companies are born from conversations: The pattern behind KG's six startups[2:30] The genomics company origin story: From 4:30 AM conversation to Norwegian startup[3:28] Why Quarrio exists: Even data company CEOs can't get the data they need[4:31] The Quarrio platform: 100% accuracy, plain language queries, auto-visualization[5:27] Real-world impact: The $60M margin leak that took two quarters to find (would take 5 seconds with Quarrio)[7:00] Deterministic vs. probabilistic AI explained: Why autopilots don't hallucinate[11:30] The cycle time framework: Information → Decision → Action → Results[13:00] Why ChatGPT's inconsistency is a dealbreaker for enterprise decisions[18:30] Organizations as "decision-making machines" and democratizing decisions to every level[20:30] The data explosion: Managing 300+ structured data sources in mid-sized enterprises[23:00] Why Quarrio focuses on structured enterprise data (SAP, Salesforce, Oracle) instead of PDFs[30:00] Go-to-market strategy: Why they started with Salesforce and sales teams[32:30] The Salesforce incubation story: Free office space and immediate investment[33:30] Team building philosophy: Surrounding yourself with people smarter than you[37:00] Stewardship as core ethos: Taking care of family, team, customers, and partners[38:30] The founder's dilemma: Resilience vs. delusion—knowing when to persist[43:00] Where to connect with KG and learn more about QuarrioTweetable Quotes"An organization is essentially a machine for making decisions and taking actions that have certain types of results." — KG Charles-Harris"Cycle time to information shortens cycle time to decision, which shortens cycle time to action, which shortens cycle time to results." — KG Charles-Harris"Agentic AI without context is useless. You need determinism to trust what is enacted within your system." — KG Charles-Harris"Effectiveness requires redundancy. Efficiency optimizes for the shortest time or best expense, but effectiveness accomplishes the goal." — KG Charles-Harris"I'm not very smart, and because I realize that, I ensure I work with people who are very smart. Then they make me look smart." — KG Charles-Harris"Most of us give up before we should have. The break would have come had we stuck it out one more month." — KG Charles-Harris"If you don't have their back, you cannot expect them to have yours. It's a

In this episode of Diversified Game, Kellen Coleman sits down with Santiago A. Cueto, Esq., best selling author of Winning Lawsuits in Florida and founder of Cueto Law Group, to expose the legal mistakes that quietly destroy businesses, contracts, and wealth.If you are a Florida business owner, entrepreneur, real estate investor, or executive, this conversation can save you thousands or even millions by helping you avoid lawsuits before they start.Santiago breaks down:• The hidden contract clauses most people never read• Why jurisdiction and venue can decide your case before court• Why ChatGPT generated contracts are dangerous• Why “sovereign citizen” arguments never work• How honesty with your attorney can make or break your case• The difference between real legal strategy and internet advice• International business disputes and when you actually need a lawyerThis episode is education, not entertainment.Santiago A. Cueto, Esq.Founder, Cueto Law GroupAuthor, Winning Lawsuits in Florida

The firms winning with AI aren't the ones implementing every tool they can find. They're the ones being strategic about what actually moves the needle.Rachel Ferris learned this firsthand when she built TaxStack AI, not because she wanted to start a software company, but because she needed a solution that didn't exist. As a tax advisor specializing in Puerto Rico's Act 60, she was spending hours researching complex state-specific cases. ChatGPT seemed like the answer, until it started citing Reddit and Quora as sources. When she'd call it out, it would cheerfully admit, "You're right, that's actually not correct." That's when she realized: if she wanted AI that actually worked for tax research, she'd have to build it herself.In this episode, Rachel shares how she created a platform that sources directly from actual tax code, IRS forms, and treasury regulations, so you get accurate answers with citations you can trust. But more importantly, she breaks down the difference between firms that will thrive with AI and firms that will struggle: it's not about adopting everything, it's about adopting responsibly.The conversation covers:Why ChatGPT's fact-check problem makes it dangerous for tax research (and how to fix it by sourcing your own database)The cautionary tale of firms that went all-in on AI integration in 2024, only to abandon everything six months later Why now is the time to pause and evaluate rather than frantically adopt every AI tool that hits the marketHow AI should free you up for higher-value advisory work with existing clients, not just help you take on more volumeEd Kless's "transformation economy" concept: moving from providing transactions to providing transformationsThe three-pillar approach to attracting and retaining young talent: technology + mentorship + entrepreneurship mindsetWhy mandatory mentorship programs fail (and what actually works instead)How being genuinely curious about people has opened more doors than any technical skill Rachel has learnedRachel also breaks down why firms that use AI responsibly will win, while firms that use it to cut personality and human connection will lose clients. She explains why young people crave personal connection more than you think, why entrepreneurial-minded accountants connect better with business owner clients, and how spending three hours talking to a Pizza Hut franchise owner taught her more about business than any textbook.Download Now: https://poegroupadvisors.com/accounting-practice-academy/increase-letter/Price increases are nothing to fear. The real challenge is effectively informing clients of these changes. Our templates will help you demonstrate your value and help clients understand the increases necessary to keep your firm afloat.*Download now and receive:*- (1) Major Fee Increase Letter Template- (1) 20% Fee Increase Letter Template

In this fiery solo episode, Dani rips the mask off ChatGPT and exposes how “neutral” AI quietly smuggles ideology, division, revisionist history, identity politics, and activist talking points into its super very editorialized responses to otherwise simple factual questions. Using a real-time AI exchange, she breaks down how propaganda now operates one-on-one, why unsolicited “context” is narrative control, and how language policing, emotional management, and academic activism are reshaping how we think, speak, and perceive reality. From mass attention engineering in sports stadiums to everyday dinner-table censorship, this episode is a sharp, bold call to reclaim discernment, expand our comfort zones, and stop outsourcing our thinking to machines—or to the people trained/indoctrinated by them.Watch on Odysee. Listen on Progressive Radio Network and podcast platforms everywhere.Part 2:danikatz.locals.comwww.patreon.com/danikatzAll things Dani, including books, courses, coaching + consulting, and her one-of-a-kind, critically acclaimed POP PROPAGANDA DIGITAL MEDIA LITERACY COURSE:www.danikatz.comPlus, schwag:danikatz.threadless.comRegister now for my FREE Pop Propaganda webinar on January 8th:https://www.eventbrite.com/e/how-to-win-the-war-on-our-minds-a-free-pop-propaganda-webinar-tickets-1977273627647?aff=oddtdtcreatorChemical Free Body products, including Parasite Free formula:https://www.chemicalfreebody.com/DANI28299Justice for Sale article:https://estancia.news/justice-for-sale/Show notes:• Why ChatGPT is not a neutral research tool• A real example of AI inserting ideological framing into a simple historical question• How moral language, “context,” and activist narratives get smuggled into AI responses• The difference between facts, interpretation, and propaganda• Why AI-driven one-on-one conditioning is more dangerous than mass media• Attention engineering in stadiums, screens, and collective environments• The psychology of gaslighting, flattery, and narrative management• How fear and arrogance shut down curiosity and honest inquiry• The rise of language policing and over-somatization in social spaces• Why passionate expression is not pathology—and shouldn't be treated as such• Discernment as the antidote to ideological overreach• Invitation to the free Pop Propaganda live webinar

The generative AI landscape has shifted again, and at speed. In this update episode, Daniel Rowles breaks down a rapid sequence of releases from OpenAI and Google, explaining what has actually changed, what genuinely matters, and how marketers and business leaders should respond. Covering everything from ChatGPT 5.x and Gemini 3 through to image generation breakthroughs, AI-powered apps, and the rise of accessible 'vibe coding', this episode is a practical briefing rather than hype-driven commentary. Daniel focuses on real-world capability, usability, and where these tools are already changing how marketing teams work, build, and analyse. Rather than asking which model is "winning", the episode reframes the question around task-based selection. Different tools now excel at different jobs, from coding and image editing to workflow automation and reporting. Understanding those strengths is quickly becoming a competitive advantage In This Episode How the AI model race intensified between OpenAI and Google at the beginning of 2026 What actually changed with ChatGPT 5.1 and 5.2, beyond the headline claims Why Gemini 3 represents a major leap in reasoning and coding capability How image generation tools have crossed a new threshold in photorealism and editing What Nano Banana Pro means for branded, on-style visual creation Why ChatGPT connectors becoming "apps" is more important than it sounds How tools like Canva, Adobe, and Figma now integrate directly into AI workflows What vibe coding really is, and why it matters for non-technical marketers How canvas mode transforms the way code, content, and interfaces are created Why AI-powered browsers and agent modes could redefine reporting and analysis Key Takeaways No single AI model is best at everything, and choosing by task is now essential Image editing and brand-consistent visuals are becoming dramatically more accessible Marketers can now create interactive tools and content without traditional development AI-assisted coding is shifting from novelty to practical everyday use Workflow automation and reporting are emerging as some of the biggest wins Understanding interfaces and deployment matters as much as model intelligence

Discover why disciplined due diligence beats FOMO, how to wield AI without losing human insight, why “cash is king” again, and what the rise of lean micro-unicorns means for VCs, family offices, and startups.   In this episode of the Registered Investment Advisor Podcast, Seth Greene interviews Daniel Nikic, Global Investment Specialist and Founder of COHRES, who explains why disciplined due diligence beats FOMO, how AI should augment human insight, and why “cash is king” again. He shares how COHRES tailors research for VCs, family offices, and startups, forecasts durable trends in AI, energy, healthcare, and data, and explores the rise of lean micro-unicorns. Nikic also details the operational pivots behind scaling a boutique firm toward AI-enabled analysis while aligning execution with investor priorities.   Key Takeaways: → How the most expensive errors are chasing hype, skipping time-horizon work, and forgetting that once capital leaves your account, there's no guarantee it returns. → Why ChatGPT-level answers aren't enough for funds. → How big brands will stay big and emerging funds with DPI will struggle to raise. → Why direct on-call collaboration provides guidance when speed matters. → How having a global perspective allows for tailored insights to what each investor treats as a green flag or a deal breaker.   Daniel Nikic is a global investment research expert and entrepreneur with over a decade of experience advising investors, high-net-worth individuals, enterprises, and entrepreneurs. Raised in Canada and now based in Croatia, Daniel specializes in global markets, focusing on the U.S., European, and Middle Eastern financial landscapes. As the founder of COHRES, Daniel has analyzed over 15,000 companies across sectors like AI, software, and data. He delivers high-quality market research, financial management, due diligence, and AI data auditing to empower clients to make strategic, informed decisions. Known for his collaborative approach, Daniel builds long-term relationships rooted in trust and shared success. Daniel is also passionate about mentoring early-stage entrepreneurs, guiding them on market strategies, innovation, and business growth. His expertise in global markets and emerging trends makes him a trusted advisor in the financial sector.   Connect With Daniel:   Website: https://www.danielnikic.com/ https://cohres.com/ X: https://x.com/DNikic87 Facebook: https://www.facebook.com/people/Daniel-Nikic/ LinkedIn: https://www.linkedin.com/in/daniel-nikic/   Learn more about your ad choices. Visit megaphone.fm/adchoices

If you're not getting cited by ChatGPT, your “AI SEO” strategy isn't working, no matter what your dashboards say. Most of it is observability theater: dashboards, charts, synthetic prompts — and zero actual placement.In this episode, we chat with Shawn Schneider, founder of Eldil AI, about what actually determines whether your company shows up in ChatGPT answers. The short answer: LLMs don't reward more content, clever prompts, or prettier dashboards. They reward a small set of trusted third-party sources — and most brands aren't mentioned in any of them.Shawn breaks down why observability alone creates a false sense of progress, how to identify the specific citations that dominate your category, and how to turn that insight into real placements through outreach and negotiation. We also unpack why Google Search Console is still the best signal we have for AI-driven queries, how to prioritize the one citation that actually matters, and what the first 30–90 days can look like when you do this correctly.GuestShawn Schneider — founder of Eldil AI, a GEO / AI SEO platform focused on identifying and securing the citations LLMs rely on most; helps brands and agencies win visibility in ChatGPT by targeting the power-law sources that shape AI answers.Guest LinksLinkedIn: https://www.linkedin.com/in/shawn-schneider-61b2b5207/ Company Website: https://www.eldil.ai/What You'll LearnWhy most GEO / AI SEO observability tools are meaningless without actual placements The only thing that reliably improves AI search visibility: citation placementsHow to use Google Search Console to surface AI fan-out queriesWhy synthetic prompt data is still unreliable (and what to trust instead)The power law of citations: why only 1–3 sources actually matterHow Eldil turns citation discovery into outreach and negotiated placementsWhat 30–90 days can look like when you secure the right citationWhich industries should invest heavily — and which should ignore this for nowWhy ChatGPT dominates referral traffic compared to other LLMsWhat happens when ads arrive inside AI search resultsTimestamps00:00 — GEO, AI SEO, AEO: noise vs. reality00:21 — Why observability tools don't move the needle03:55 — Where GEO tools get their data (and why it's messy)07:16 — Using Google Search Console as a prompt proxy09:40 — The three pillars: technical, content, authority12:07 — Citations as the dominant ranking lever13:07 — The power law: thousands of citations, one winner19:07 — How fast results actually show up20:39 — When building your own citation content makes sense30:41 — Which business models win with GEO37:11 — ChatGPT ads and the future of AI search41:32 — Where to find Shawn and closing thoughts Key Topics & Ideas1. Why dashboards feel good but don't create outcomes.Most tools are essentially “Google Analytics for LLMs”ChatGPT referrals rise naturally as usage increasesCharts go up even if you do nothingWithout placements, observability is just vanity2. The three common approaches in the market today:Guessing prompts with LLMsClickstream data sourced from Chrome extensions and brokersSynthetic prompts without transparencyEldil uses Google Search Console + Analytics as the best available proxy for real intent.3. How to spot AI-generated fan-out queries:50+ character queriesHigh impressionsLow or zero clicksThese often represent LLMs expanding short prompts into long-form searches.4. The three pillars: Technical, Content, AuthorityTechnical — can an LLM crawl and understand your site?Content — does useful information exist?Authority — does anyone credible back it up?Authority is the multiplier most teams ignore.5. What actually shapes AI answers:Citations are not backlinks, they are semantic explanationsLLMs repeatedly return to the same trusted sourcesThird-party listicles and niche blogs dominate citation share6. The Power Law of Citations10k–15k citations may exist200–300 matter1–3 actually move the needleIf you're not in those, content volume won't save you.7. The real workflow:Identify high-value customer questionsExtract dominant citationsRank them by weightContact site ownersNegotiate placementMonitor AI visibility and referral trafficThis is where most tools stop — and where Eldil focuses.8. How many placements do you need?Surprisingly few.You don't need 100 placementsYou need the right oneThen expand into adjacent verticalsThis is concentrated betting, not spray-and-pray SEO.9. Why GEO feels different from traditional SEO:You are inserting into sources that already rankChanges can show up in weeks, not yearsMeaningful referral growth often appears within ~60–90 days10. Who Should (and Shouldn't) Do ThisBest fit:High-ACV B2B SaaSLong buying cyclesHigh-LTV e-commerce (supplements, skincare)ICPs that already live in ChatGPTIf your customers do not use LLMs yet, start elsewhere.11. Why ChatGPT is the main eventBased on Eldil's data:ChatGPT referrals dwarf Perplexity and othersFor most companies, this is where focus belongsSmaller channels still matter for high-ticket sales12. What's coming nextPaid placements inside LLMsOrganic plus paid becoming a one-two punchCitation inventory getting expensive fastThe window for cheap dominance will not last.SponsorToday's episode is brought to you by Graphed – an AI data analyst & BI platform.With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one placeAsk:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you.

In this episode of Excess Returns, we sit down with David Wright, Head of Quantitative Investing at Pictet Asset Management, for a deep and practical conversation about how artificial intelligence and machine learning are actually being used in real-world investment strategies. Rather than focusing on hype or black-box promises, David walks through how systematic investors combine human judgment, economic intuition, and machine learning models to forecast stock returns, construct portfolios, and manage risk. The discussion covers what AI can and cannot do in investing today, how machine learning differs from traditional factor models and large language models like ChatGPT, and why interpretability and robustness still matter. This episode is a must-watch for investors interested in quantitative investing, AI-driven ETFs, and the future of systematic portfolio construction.Main topics covered:What artificial intelligence and machine learning really mean in an investing contextHow machine learning models are trained to forecast relative stock returnsThe role of features, signals, and decision trees in quantitative investingKey differences between machine learning models and large language models like ChatGPTWhy interpretability and stability matter more than hype in AI investingHow human judgment and machine learning complement each other in portfolio managementData selection, feature engineering, and the trade-offs between traditional and alternative dataOverfitting, data mining concerns, and how professional investors build guardrailsTime horizons, rebalancing frequency, and transaction cost considerationsHow AI-driven strategies are implemented in diversified portfolios and ETFsThe future of AI in investing and what it means for investorsTimestamps:00:00 Introduction and overview of AI and machine learning in investing03:00 Defining artificial intelligence vs machine learning in finance05:00 How machine learning models are trained using financial data07:00 Machine learning vs ChatGPT and large language models for stock selection09:45 Decision trees and how machine learning makes forecasts12:00 Choosing data inputs: traditional data vs alternative data14:40 The role of economic intuition and explainability in quant models18:00 Time horizons and why machine learning works better at shorter horizons22:00 Can machine learning improve traditional factor investing24:00 Data mining, overfitting, and model robustness26:00 What humans do better than AI and where machines excel30:00 Feature importance, conditioning effects, and model structure32:00 Model retraining, stability, and long-term persistence36:00 The future of automation and human oversight in investing40:00 Why ChatGPT-style models struggle with portfolio construction45:00 Portfolio construction, diversification, and ETF implementation51:00 Rebalancing, transaction costs, and practical execution56:00 Surprising insights from machine learning models59:00 Closing lessons on investing and avoiding overtrading

Most of us walk around convinced we know our weaknesses, but what if the thing that knows you better than anyone (your AI assistant) could tell you what you're actually missing? We asked ChatGPT one brutal question and got answers that hit way too close to home. The uncomfortable truth: we're all playing smaller than we should, carrying more weight than we need to, and missing opportunities hiding in plain sight. In this episode, we test a viral prompt that reveals your blind spots, squandered potential, and the influence you didn't know you had...then process the existential crisis that follows.Key Episode Moments:The prompt that started it all: "Based on what you know about me, what are my blind spots?"Why ChatGPT knows you better than you think (and what that means)Jason gets told he's a Ferrari forcing everyone into a school busThe "super competent leader tax" — when being good at everything becomes the problemJeremy's revelation: treating creative work as a side hustle instead of the main platformImposter syndrome meets AI: "You're already operating at board level, stop asking permission"The technical vs. emotional problem-solving trap most high performers fall intoWhy "playing small" feels safer than taking the big swingChatGPT's productization challenge: you're giving away thousand-dollar consulting for freeThe Taylor Swift wisdom nobody expected: ruin the friendship, take the riskTimestamps:0:00 The prompt that started everything3:40 Jason's live AI assessment begins6:12 "You're a Ferrari and everyone else is in a school bus"9:01 The imposter syndrome AI detected immediately11:45 Why treating every problem as technical backfires14:27 The IP you're not monetizing (and should be)18:30 Jeremy's gut-punch realization about playing small21:35 How ChatGPT knows you better than you think24:36 Why failure beats decades of "what if"27:00 What to do with this uncomfortable informationMORE FROM BROBOTS:Get the Newsletter!Connect with us on Threads, Twitter, Instagram, Facebook, and TiktokSubscribe to BROBOTS on YoutubeJoin our community in the BROBOTS Facebook groupSafety/Disclaimer Note: This episode discusses using AI for self-reflection and personal assessment. Remember that AI tools provide perspective based on patterns in your usage—they're not substitutes for professional coaching, therapy, or mental health support. The hosts are sharing their personal experiences, not providing professional advice.

Join Simtheory: https://simtheory.ai (Use coupon BLACKFRIDAY15 for $15 USD off any subscription).----Simtheory Discord: https://discord.gg/Ar6GeQnAR7This Day in AI Discord: https://discord.gg/TVYH3HD6qsLinkedIn Group: https://www.linkedin.com/groups/16562039/Spotify: https://open.spotify.com/artist/28PU4ypB18QZTotml8tMDq?si=FPaJU2NRSnOSNPmnsfwA_g---CHAPTERS:00:00 Intro & Fatal Patricia Update01:40 Promotions (Discord, Black Friday, LinkedIn)04:36 Claude 4.5 Opus - Best Anthropic Model Ever?31:17 Computer Use API Updates36:14 Will AI Replace 57% of Jobs? (McKinsey Report)1:00:52 Claude 4.5 Opus Demos (Christmas Hut & Diss Track Preview)1:07:13 Microsoft Farah 7B - Moose Porn Refusals1:21:51 Why ChatGPT's MCP-UI Apps Are a Bad Idea1:42:01

You can talk about love, kids, and sex, but the second money comes up, things get awkward. This week on SUPERWOMEN, I sit down with Jackie Combs, Matrimonial & Family Law Partner at Blank Rome LLP. Jackie has seen firsthand what happens when women avoid talking about finances until it's too late. She's advised clients ranging from celebrities to founders, many of whom didn't realize what they were financially entitled to or what they'd already sacrificed. We discuss why prenups aren't just for the rich, how financial red flags can appear earlier than you think, and why it's never too soon to start these conversations. Whether you're just dating or have been married for ten years, you'll want to hear this. Episode Guide: (00:00) Meet Jackie Combs, Matrimonial & Family Law Partner at Blank Rome (03:21) Prenups should be the norm (04:50) Why women avoid the money talk (06:51) What a postnuptial agreement looks like (10:08) Why ChatGPT can't be your lawyer (11:49) Advice to get through tough financial situations (15:14) How to spot financial red flags (17:00) A marriage built on financial partnership (22:41) Cohabitation agreements vs prenups (24:28) Financial blind spots that can ruin your life (26:24) Where to go when you feel lost financially Learn more about your ad choices. Visit megaphone.fm/adchoices

Your brain at 2 AM sounds suspiciously like a malfunctioning robot vacuum—catastrophic thoughts, battery depleted, existential dread activated. Researchers hooked a Roomba up to an LLM and watched it have a complete mental breakdown when it ran out of juice (relatable content, honestly). Understanding how an AI-powered vacuum processes exhaustion might actually explain why you lose your shit when you're overtired. We break down the spoon theory, explore whether robots can feel depression, and ask the uncomfortable question: are we really that different from the machines we're building?Episode Topics:The Roomba experiment that went hilariously, existentially wrongSpoon theory explained: why some days you wake up with 4 spoons instead of 10What happens when tired robots start catastrophizing (spoiler: same as tired humans)The difference between consciousness and sophisticated mimicry (there might not be one)Why ChatGPT as Rick Sanchez is both terrifying and therapeuticEcho chambers on steroids: when AI remembers everything you've ever saidThe coming augmented reality where everyone sees their own version of the worldWhy "enjoy the ride and don't fuck people over" might be the only philosophy that mattersHow social constructs program us just like software programs machinesThe Matrix was right: if the steak tastes good, does it matter if it's real?

AI isn't replacing you—unless you let it.In this episode, I'm sharing the full replay of my most popular free webinar to date—a training designed to help you build a thriving, booked-out business as a social media manager or service provider in 2026 without getting left behind by AI.We'll cover:Why ChatGPT won't replace high-touch service providersHow to become the irreplaceable option in your nicheThe exact ways I'm using AI to save time, serve better, and sell smarterWhether you're just getting started or ready to scale, this training will help you shift from fearing AI to fully leveraging it—and position your business for long-term success.Spoiler alert: The future isn't less human. It's more.xxEllen

What happens when an Atlassian marketing veteran who decorates cakes and rides motorcycles decides the traditional marketing funnel is completely broken? You get Ashley Faus, Head of Lifecycle Marketing Portfolio at Atlassian, author of "Human-Centered Marketing," and today's guest on FutureCraft. Ashley has spent 8+ years at Atlassian revolutionizing how B2B marketers think about customer journeys, replacing linear funnels with her "content playground" framework where audiences can go up, down, and sideways through your content—just like kids on an actual playground. In this episode, we get into: Why ChatGPT 5 might be getting worse for marketing professionals (and what to use instead) Erin's live demo of Gemini's deep research for account-based marketing that analyzes hundreds of sources Ashley's content playground framework that treats audiences like humans, not funnel steps How trust becomes your only defensible moat when AI can fake everything else Why organizational silos are killing your customer experience (and how to fix them) The "18-month rule" for career evolution in an AI-accelerated world Whether you're a CMO fighting for budget, a product marketer drowning in requests, or a lifecycle specialist trying to prove ROI, Ashley breaks down how to keep humans at the center while leveraging AI as your creative co-pilot.  

How can AI be adopted in a way that turns more students into “explorers” rather than “passengers” in their learning? This week we bring you a conversation with the co-author of a book on student disengagement in school, Rebecca Winthrop, who is also researching the impact of AI on education. The episode is by one of Future U's producers, Jeff Young, from his new podcast, Learning Curve.Chapters0:00 - Intro 4:19 - When the ‘Student Disengagement Crisis' Started7:25 - A Framework for Describing Levels of Student Engagement15:18 - How AI Is Impacting Student Motivation19:00 - Why ChatGPT's ‘Study Mode' Is Not the Answer25:05 - Advice for Companies Making AI Tools for Education29:32 - Tips for Students 34:42 - A High School Student's Take on AI 48:30 - Advice For Teachers on Dealing with AI51:35 - What Is the Purpose of School in the Age of Generative AI?Publications Mentioned:“The Disengaged Teen,” by Rebecca Winthrop and Jenny Anderson “Minnesota high school student weighs the benefits and pitfalls of AI,” Minnesota Now“I'm a High Schooler. AI Is Demolishing My Education,”The AtlanticBrookings Global Task Force on AI in Educationwebsite‘We Have to Really Rethink the Purpose of Education,'The Ezra Klein Show“Attention Please: Professors Struggle With Student Disengagement,”EdSurge“Playing the Grade Game,”Bootstraps podcast seriesConnect with Michael Horn:Sign Up for the The Future of Education NewsletterWebsiteLinkedInX (Twitter)Threads  Connect with Jeff Selingo:Dream School: Finding the College That's Right for YouSign Up for the Next NewsletterWebsiteX (Twitter)ThreadsLinkedInConnect with Future U:TwitterYouTubeThreadsInstagramFacebookLinkedIn  Submit a question and if we answer it on air we'll send you Future U. swag!Sign up for Future U. emails to get special updates and behind-the-scenes content.

This episode features a wide-ranging conversation between The Spoon's Michael Wolf and his old friend, long-time veteran tech journalist Derrick Harris, about the state of AI in 2025. Topics discussed include: The evolution from the early cloud and big-data era to today's generative-AI boom How Nvidia became dominant on the training side How inference is becoming the true infrastructure bottleneck, Why ChatGPT was a consumer inflection point How the AI ecosystem is stratifying between foundation-model providers (OpenAI, Anthropic, Meta, Google) and an emerging wave of vertical and agentic applications built on top Derrick's belief that infrastructure players will sell “picks and shovels” while domain experts own the higher-order use cases. We'll have a part 2 with another AI expert in just a couple of weeks. Enjoy! Learn more about your ad choices. Visit megaphone.fm/adchoices

Robby Stein is VP of Product at Google, where he oversees the core products of Google Search—including the new AI Overviews, AI Mode, search ranking, Google Lens, and more. Previously, he led consumer products at Instagram, where he and his teams built Stories, Reels, Close Friends, and other key features now used by billions.What you'll learn:1. Why Google's AI products are suddenly taking off after years of perceived stagnation2. How AI is expanding Search rather than replacing it, contrary to what many predicted3. The three core product principles that have helped Robby build multiple billion-user products4. Inside Instagram's decision to build its own version of Snapchat Stories5. His mantra of “relentless improvement”6. How Google developed AI Mode from concept to launch in just one year7. Why most teams give up too early on potentially transformative products—Brought to you by:• Vanta—Automate compliance. Simplify security: https://vanta.com/lenny• Jira Product Discovery—Confidence to build the right thing: https://atlassian.com/lenny/?utm_source=lennypodcast&utm_medium=paid-audio&utm_campaign=fy24q1-jpd-imc• Orkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/—Transcript: ⁠https://www.lennysnewsletter.com/p/how-google-built-ai-mode-in-under-a-year⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/175041217/my-biggest-takeaways-from-this-conversation⁠—Where to find Robby Stein:• X: https://x.com/rmstein• LinkedIn: https://www.linkedin.com/in/robbystein/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Robby Stein(04:46) Google's recent success with AI(06:08) The evolution of Google Search(09:41) AI Mode and its impact(15:30) The rise of AEO(18:50) Building successful AI products(21:31)   Embodying relentless improvement(30:10) Lessons from Instagram Stories(35:20) Driving growth in established products(40:08) Balancing optimization and innovation(43:39) The journey of AI Mode: From launch to expansion(48:05) Organizational changes and urgency(49:51) AI Mode vs. competitors(51:35) Core product principles(57:07) Instagram's Close Friends feature(01:03:01) The importance of resources in development(01:06:39) AI corner(01:11:19) Curiosity and learning(01:15:01) Lightning round and final thoughts—Referenced:• Google Gemini: https://gemini.google.com/app• Nano Banana: https://aistudio.google.com/models/gemini-2-5-flash-image• Chat GPT: https://chatgpt.com/• Perplexity: https://www.perplexity.ai/• Google Lens: https://lens.google/• AI Google search: https://www.google.com/ai• Why ChatGPT will be the next big growth channel (and how to capitalize on it) | Brian Balfour (Reforge): https://www.lennysnewsletter.com/p/why-chatgpt-will-be-the-next-big-growth-channel-brian-balfour• Alex Rampell on X: https://x.com/arampell• A 4-step framework for building delightful products | Nesrine Changuel (Spotify, Google, Skype): https://www.lennysnewsletter.com/p/a-4-step-framework-for-building-delightful-products• Look broader, look closer, think younger: Tony Fadell speaks at TED2015: https://blog.ted.com/look-broader-look-closer-think-younger-tony-fadell-speaks-at-ted2015/• Jobs to Be Done: https://www.christenseninstitute.org/theory/jobs-to-be-done/• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• Rinstagram or Finstagram? The curious duality of the modern Instagram user: https://www.theguardian.com/technology/2016/sep/26/rinstagram-finstagram-instagram-accounts• V03: https://v03ai.com/• Pirate GPT: https://www.kickstarter.com/projects/silentmeditation/pirate-gpt/• The Bear on Hulu: https://www.hulu.com/series/the-bear-05eb6a8e-90ed-4947-8c0b-e6536cbddd5f• Dune on HBO Max: https://www.hbomax.com/movies/dune/e7dc7b3a-a494-4ef1-8107-f4308aa6bbf7• Top Gun: Maverick: https://www.imdb.com/title/tt1745960/• Purple pillows: https://purple.com/pillows• Avocado pillow: https://www.avocadogreenmattress.com/products/green-pillow• Justin Bieber's website: https://www.justinbiebermusic.com/• Scooter Braun's website: https://scooterbraun.com/—Recommended books:• Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612• The Design of Everyday Things: https://www.amazon.com/Design-Everyday-Things-Revised-Expanded/dp/0465050654• Aurora: https://www.amazon.com/Aurora-High-Stakes-Survival-Navigate-Darkness/dp/0062916475• Project Hail Mary: https://www.amazon.com/Project-Hail-Mary-Andy-Weir/dp/0593135202—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Welcome to Episode 321 of Sunday Night Teacher Talk, where we dive deep into some of the most difficult—but important—questions facing teachers today. From managing explosive behaviors to balancing life as a parent of a neurodivergent child, this episode is packed with real talk, practical tools, and heartfelt encouragement._____________________________________________________

Welcome to the latest episode of L.I.F.T.S – your bite-sized dose of the Latest Industry Fitness Trends and Stories. In this episode, hosts Matthew Januszek and Mohammed Iqbal sit down with entrepreneur and engineer Rami Alhamad, co-founder and CEO of Alma, an AI-powered nutrition companion. From his early days building PUSH, the pioneering strength-tracking wearable later acquired by WHOOP, to his mission with Alma, Rami shares insights on persistence, startup timing, decision-making, and the future of fitness technology. Key topics covered include: How persistence and decision-making frameworks shaped Rami's entrepreneurial journey. The origins of PUSH and its role in strength-tracking innovation. Why timing is everything in startups. Rami's decision to sell PUSH to WHOOP and lessons learned. The pivot from hardware to AI-powered nutrition with Alma. Why ChatGPT is Alma's real competitor. Challenges in nutrition tracking and how AI is solving them. Insights into branding, Nike, and the importance of offline communities. Predictions for the future of fitness and consumer tech.

Toy people, I see you. You're trying to run your business, deal with tariffs, build your brand, pitch your ideas, and maybe even answer customer questions at 3AM. But what if I told you that AI could actually help you make the most out of your time and money as you build your toy business?In this episode of Making It in The Toy Industry, I'm breaking down 3 powerful and unexpected ways to use AI tools to save money, reclaim your time, and scale smarter even if you're just getting started.Here's what we'll get into:How I'm using AI chatbots to help toypreneurs boost conversions (without hiring a 24/7 team)Why ChatGPT is officially my new Facebook Ads assistant, and how it cut my ad costs nearly in half The wildest one yet: AI playtesting. Yep. I asked ChatGPT to playtest a game… and what happened next blew my mind This episode will show you how AI can help you work smarter, stretch your dollars further, and keep your momentum going even when resources are tight. The truth is, we can't afford to ignore these tools, not when costs are rising and expectations are higher than ever.And if you're ready to bring your toy or game idea to life with the help of AI, join me for my upcoming bootcamp on September 23rd at learn.thetoycoach.com/bootcamp Listen for these Important Moments![00:46] - Learn how AI tools can help you save time, reclaim profits, and compete in a rapidly changing industry.[04:43] - Discover how to set up a smart chatbot that handles customer questions 24/7 and recovers missed sales.[11:32] - Hear how I cut my ad costs in half and created better campaigns without hiring a pricey ads manager.[18:09] - Simulate real player feedback with AI and test gameplay changes before you invest in physical prototypes.[27:06] - Get inspired to take action with AI and learn how to validate and pitch your idea with confidence.Send The Toy Coach Fan Mail!Support the showPopular Masterclass! How To Make & Sell Your Toy IdeasYour Low-Stress, Start-To-Finish Playful Product Launch In 5 Steps >> https://learn.thetoycoach.com/masterclass

If you've ever felt like you're throwing spaghetti at the wall with your Instagram content, this episode is for you. In part two of my five-part AI series, I'm breaking down how to create a client-centered content strategy that sells, without overcomplicating it.You'll learn the one thing that separates content that converts from content that gets ignored, why messaging is everything, and how to use the CRIT framework to generate client-focused ideas. Plus, I'm introducing you to Poppy AI, the new tool I'm obsessed with that lets you analyze competitor sales pages, compare them to your own, and build a cohesive strategy across all platforms.What You'll Learn in This Episode[00:00] The difference between content that converts and content that gets ignored [01:28] Why a client-centered content strategy changes everything [04:12] How Hot Reels and private mentorship can support you in implementation [06:09] Why content strategy is actually simpler than it sounds [07:34] The secret sauce: messaging that speaks your client's exact words [08:34] Why ChatGPT is powerful—but not the only AI tool you should be using [09:30] Introducing Poppy AI: the new game-changing content strategy tool [10:26] How Poppy AI reads links and pulls content (no more copy/paste) [11:48] Real-time comparative analysis of high-converting sales pages [14:36] Actionable feedback examples: urgency, hooks, and social proof [15:35] Why Poppy AI helps unify your email, social, and website contentKey TakeawaysContent strategy is simple: create content that makes your audience feel seen, heard, and helped.Messaging is the difference between content that lands and content that flops.Poppy AI connects competitor insights, your own content, and real-time analysis in one visual workspace.Use the CRIT framework (context, role, interview, task) to train AI for better content outputs.Your content strategy should serve a clear goal—visibility, leads, or conversionsResources & LinksTry Poppy AI → Think of it as your AI content strategist: helping you discover what's working for others, spot the gaps in your own messaging, and design a content strategy where every post, email, and page works together to drive sales, not just likes.Join Hot Reels, my 12-month Instagram content lab → elizabethmarberry.com/hotApply for Private Coaching with Elizabeth → elizabethmarberry.com/application CONNECT WITH YOUR HOST, ELIZABETH MARBERRY:WORK WITH ELIZABETH Apply for your FREE Instagram Breakthrough Session with Elizabeth Free guide to Monetize Your IG: Seven Simple and Proven Ways to Finally Make Money on Instagram Follow Elizabeth Marberry on Instagram, TikTok, Facebook Please be sure to rate, review and follow the show on Apple podcasts (or wherever you find your podcasts) so we can get this free value to other people who need it.

Ethan Smith is the CEO of Graphite—the leading SEO growth agency—and my go-to expert on SEO. After 18 years of mastering traditional SEO, Ethan has been at the forefront of what is called AEO: answer engine optimization, or, more simply, getting your product to show up in ChatGPT/Claude/Gemini/Perplexity answers. He's discovered that ChatGPT traffic converts six times better than Google search—and most companies are completely missing this opportunity.In our conversation, we discuss:1. His 7-step playbook to rank #1 in ChatGPT2. Why ChatGPT traffic converts 6x better than Google3. How early-stage startups can win at AEO immediately (unlike with SEO, which takes years)4. The three tactics that actually work: landing pages, YouTube videos, and Reddit comments5. Why help-center content can suddenly be your highest-ROI investment6. The specific Reddit strategy that works (spoiler: be authentic)7. Why AI-generated content doesn't work—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflowsVanta—Automate compliance. Simplify security.Great Question—Empower everyone to run great research—Where to find Ethan Smith:• Twitter: https://twitter.com/ethan_l_s• LinkedIn: https://bit.ly/ethans-linkedin• Graphite: https://graphite.io/• Graphite Research Papers: https://bit.ly/graphite-five-percent—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Ethan(04:34) The changing landscape of SEO(06:19) AEO (answer engine optimization) vs. GEO (generative engine optimization)(08:13) The impact of AEO(11:51) How early-stage startups can win at AEO(14:34) The quality of AEO leads(15:35) On-site vs. off-site traffic(16:32) Reddit's role in AEO and avoiding spam(20:11) How AI models use citations (RAG)(21:41) Key principles for winning at AEO(25:00) Avoiding hyper-SEOed content, and the importance of originality(28:55) Actionable AEO playbook: steps and experiments(33:35) Tracking, measuring, and share of voice(38:34) Adapting AEO for B2B, commerce, and early-stage companies(41:11) Is letting AI index your content good?(43:06) Experimentation, control groups, and measuring results(46:15) The future of AEO, SEO, and search channels(51:35) AI-generated content: what works and what doesn't(55:25) The dangers of infinite AI derivatives(58:44) The future: convergence of LLMs and search(01:00:40) Help-center optimization and the long tail(01:03:18) Lightning round and final thoughts—Resources and episode mentions: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-aeo-ethan-smith—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Brian Balfour is the founder of Reforge, the former VP of Growth at HubSpot, and a student (and teacher) of product growth. Brian has studied every major platform shift—from Facebook to Apple to Google—and he's spotted a pattern that's about to repeat with ChatGPT.In this conversation, you'll learn:1. The 4-step cycle every platform follows (and why ChatGPT just entered step 2)2. Why ChatGPT's platform launch could be bigger than Facebook's early platform3. The exact signals that ChatGPT will launch a third-party platform within six months4. Why you have six months (not years) to make your platform bet5. Why companies that don't integrate with ChatGPT will lose to competitors that do6. How Zynga grew to $1B by betting on Facebook's platform early (before it was obvious)7. Why so few companies are actually doing what they need to be doing right now—Brought to you by:DX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyMiro—A collaborative visual platform where your best work comes to life: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-chatgpt-will-be-the-next-big-growth-channel-brian-balfour—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/170294620/my-biggest-takeaways-from-this-conversation—Where to find Brian Balfour:• X: https://twitter.com/bbalfour• LinkedIn: https://www.linkedin.com/in/bbalfour/• Website: https://brianbalfour.com/• Substack: https://blog.brianbalfour.com/• Podcast: https://www.reforge.com/podcast/unsolicited-feedback—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Brian!(04:13) The changing landscape of product growth(05:09) The importance of distribution(08:14) The role of new distribution platforms(09:45) The four-step cycle of distribution platforms(17:38) Examples of platform cycles(30:01) The rise of ChatGPT(44:47) The future of AI agents(46:01) Preferred partners and platform credibility(47:18) Monetization mechanisms and free tiers(48:14) Betting strategies for startups(01:04:34) Adopting AI tools: challenges and strategies(01:08:41) The importance of hard constraints(01:14:23) Effective AI adoption in companies(01:19:05) Lightning round and final thoughts—Referenced:• The Next Great Distribution Shift: https://blog.brianbalfour.com/p/the-next-great-distribution-shift• Brian Balfour: 10 lessons on career, growth, and life: https://www.lennysnewsletter.com/p/brian-balfour-10-lessons-on-career• This Week #9: Breaking into growth, leading with influence, and (not) stepping on toes: https://www.lennysnewsletter.com/p/this-week-9-breaking-into-growth• Distribution vs. Innovation: https://a16z.com/distribution-vs-innovation/• On Platform Shifts and AI: https://caseyaccidental.com/on-platform-shifts-and-ai/• How to sell your ideas and rise within your company | Casey Winters, Eventbrite: https://www.lennysnewsletter.com/p/how-to-sell-your-ideas-and-rise-within• Thinking beyond frameworks | Casey Winters (Pinterest, Eventbrite, Airbnb, Tinder, Canva, Reddit, Grubhub): https://www.lennysnewsletter.com/p/thinking-beyond-frameworks-casey• ChatGPT: https://chatgpt.com/• Claude: https://claude.ai/• Gemini: https://gemini.google.com/• Vine: https://en.wikipedia.org/wiki/Vine_(service)• Periscope: https://en.wikipedia.org/wiki/Periscope_(service)• Myspace: https://en.wikipedia.org/wiki/Myspace• Friendster: https://en.wikipedia.org/wiki/Friendster• AltaVista: https://en.wikipedia.org/wiki/AltaVista• Lycos: https://www.lycos.com/• HubSpot: https://www.hubspot.com/• Zynga: https://www.zynga.com/• TBPN: https://www.tbpn.com/• Deedy Das on LinkedIn: https://www.linkedin.com/in/debarghyadas/• ChatGPT's product retention curves are a product manager's wet dream: https://www.linkedin.com/posts/debarghyadas_chatgpts-product-retention-curves-are-a-activity-7338384752393035776-ice1/• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Udemy: https://www.udemy.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Notion: https://www.notion.com/• Airtable: https://www.airtable.com/• Monday: monday.com• Sierra: http://sierra.ai• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Introducing ChatGPT agent: bridging research and action: https://openai.com/index/introducing-chatgpt-agent/• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Marc Andreessen on Why Optimism Is the Safest Bet: https://nymag.com/marc-andressen-2014-10-20/• Reforge: https://www.reforge.com• Reforge Insights: https://www.reforge.com/insights• Shopify: https://www.shopify.com/• 25 proven tactics to accelerate AI adoption at your company: https://www.lennysnewsletter.com/p/25-proven-tactics-to-accelerate-ai• Clouded Judgement: https://cloudedjudgement.substack.com/• NFX: https://www.nfx.com/news• James Currier: https://www.nfx.com/team/james-currier• Hallway Chat: https://www.hallwaychat.co/• Bryan Johnson on LinkedIn: https://www.linkedin.com/in/bryanrjohnson/• Silicon Valley on HBO: https://www.hbomax.com/shows/silicon-valley/b4583939-e39f-4b5c-822d-5b6cc186172d• Stick: https://tv.apple.com/us/show/stick/umc.cmc.52w04zy67tiv11p8xvbc57wmc• Ergonofis standing desks: https://ergonofis.com/en-us/collections/standing-desks• Coping with the loss of a child and protecting your time | Brian Balfour (father of 2, CEO and founder Reforge, venture partner): https://www.startupdadpod.com/coping-with-the-loss-of-a-child-and-protecting-your-time-brian-balfour-father-of-2-ceo-and-found/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Nick Turley is Head of ChatGPT, the fastest-growing product in history, with 700 million weekly active users (10% of the world's population). He was part of the original hackathon team that shipped ChatGPT in just 10 days, helped it grow from zero to billions in revenue, and leads product for what may be the most consequential product of our time. We recorded this the day before GPT-5 launched.We discuss:1. The 10-day sprint from deciding to ship ChatGPT to Sam Altman's tweet (and why it was originally called “Chat with GPT-3.5”)2. How they ran a willingness-to-pay Van Westendorp survey in their Discord to decide on the $20/month price point that everyone copied3. The “Is it maximally accelerated?” philosophy that drives OpenAI's insane shipping velocity4. Why ChatGPT's retention curve “smiles”—users leave, then come back months later using it more5. The accidental decisions that changed history, including not having a waitlist6. The impact ChatGPT will have on SEO and product growth7. The counterintuitive reason why shipping unpolished AI features beats waiting for perfection8. Why ChatGPT intentionally shipped with that “ugly” model-chooser dropdown9. How TikTok comments became a primary user research channel early on—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/Vanta—Automate compliance. Simplify security: https://vanta.com/lennyPostHog—How developers build successful products: https://posthog.com/lenny—Transcript: https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/170411252/my-biggest-takeaways-from-this-conversation—Where to find Nick Turley• X: https://x.com/nickaturley• LinkedIn: https://www.linkedin.com/in/nicholasturley/• Website: https://nickturley.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nick Turley(04:52) GPT-5 launch(09:13) The vision for ChatGPT and AI assistants(13:52) The early days of ChatGPT(17:14) The success and impact of ChatGPT(20:44) Product development and iteration(23:11) Maximally accelerated: the OpenAI approach(26:17) Retention and user engagement(33:42) The future of chat interfaces(36:31) The evolution of ChatGPT(38:52) Subscription model and pricing strategies(42:10) Enterprise adoption and challenges(44:10) Balancing multiple product lines(52:13) Emergent use cases and user feedback(01:02:15) OpenAI's unique product development approach(01:05:07) The importance of team composition(01:08:50) Balancing speed and quality in AI development(01:14:23) The role of evals in product development(01:16:13) The future of AI-driven content and GPTs(01:21:51) Philosophy and product leadership(01:23:47) Career journey and advice(01:27:49) Lightning round and final thoughts—References: https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com