AI Ready Podcast with Harrison Painter

A new AI model out of Japan, Sakana Fugu, does something we have not really seen before. Instead of answering you itself, it hires a team of the best AI models, gives each one a piece of the job, and merges their work into one answer. Harrison calls it a manager, or a conductor: you ask one question, and behind the scenes it quietly builds a team for you.In this episode, Harrison explains what model orchestration actually is in plain language, why he thinks this is where AI is heading, and then puts it to the test. He sends the same 8 questions to Fugu, to Claude Opus 4.8, and to GPT-5.5, and grades every answer. The result is honest, and the cost is the part that should give every builder pause.What you'll learn:- What "orchestration" means, explained simply- Why the future may be teams of models, not one genius model- What happened when a team of models went head to head with single models- The real speed and cost tradeoff, with actual numbers- The hidden tokens you pay for but never see- When an orchestrator is worth it, and when one good model is plenty- A heads-up on AI pricing and subsidies most people are not thinking aboutCHAPTERS0:00 A glimpse into the future0:19 What is Sakana Fugu?1:55 Not a smarter model, a manager3:30 The test: 8 questions, three models4:50 Speed: about 10x slower5:30 Cost: about 49x more expensive6:07 The hidden tokens you pay for7:20 Inside the console8:30 The questions, and why they're tricky9:06 Is a team of models worth it?9:27 When a team earns its place10:09 The verdict10:57 The subsidy nobody is talking about11:18 Where this goes next12:04 Wrap upMentioned: Sakana Fugu — https://sakana.ai/fugu/If you got something out of this, follow the show and send it to someone who's working to keep up with AI.

This week, AI showed up where decisions cannot slow down.The Seattle Seahawks will use Microsoft AI tools during the Super Bowl to analyze plays and adjust strategy in real time. At the same moment, OpenAI released Codex, embedding AI directly into live software development environments.In this episode of AI for Everyone, Harrison Painter connects those two stories and explains why they point to the same shift.AI is no longer something teams review after decisions are made.It is being used while work is happening, under pressure, with real consequences.We compare OpenAI Codex and Claude Code, unpack what this means for leaders, and outline practical steps organizations should take as AI becomes part of everyday workflows.~ Harrison Painter

Remote work didn’t break culture.AI didn’t kill creativity.But together, they’re forcing a reckoning most leaders aren’t ready for.In this episode, Steven Puri and I talk honestly about what’s eroding beneath the surface of modern work: isolation, optimization obsession, loss of ownership, and the slow removal of the human element from art and business.We explore:Why culture resists optimizationHow AI is reshaping creative work and ownershipThe psychological cost of remote isolationWhat history teaches us about tech panic cyclesPractical ways people can adapt without losing themselvesThis is not about hype or doom.It’s about understanding the moment we’re in and choosing how to respond.If you feel unsettled by where work, media, and creativity are heading, this conversation will put words to it.

AI is fundamentally shifting the landscape of SEO. Are you worried about how to get your website ranked in the age of generative AI?In this breakthrough interview, Stephen Heitz, Chief Innovation Officer at LaVidge, reveals the cutting-edge concept of Predictive SEO. Learn how he’s pioneering the use of AI to forecast content ranking before it's even published using proprietary technology like Market Brew and its "digital twin" of a search engine. What You'll Learn: * The end of the old-school discovery journey and the shift in user behavior due to AI tools searching better than humans. * Why search engine optimization is more important than ever, even as paid traffic declines. * The new strategic combination: SEO, Public Relations, and Reputation Management to get authoritative statements about your brand. * The "work slop" problem: how low-effort AI content has destroyed the value of traditional content marketing and why authenticity is key. * How the Market Brew platform uses Particle Swarm Optimization to model a search engine's 35 algorithms and predict content performance in real-time. * Why focusing on strategy and business outcomes is the only way to thrive in the new AI-driven marketing landscape. About the Guest: Stephen Heitz is the Chief Innovation Officer at LaVidge, a top advertising agency in Phoenix, Arizona. He's a Forbes Best of the Web honoree for pushing the boundaries in Martech and won Innovator of the Year. Host: Harrison Painter - AI Adoption Strategist - AI Expert TrainerPodcast: AI for Everyone Podcast - AI Rockstars Interview Series #PredictiveSEO #AIinMarketing #FutureofSEO #ContentStrategy #DigitalTransformation #MarketBrew

AI is transforming marketing fast... but what actually works, and where do humans still win?In this AI for Everyone episode, Harrison Painter sits down with AJ Schneider — CEO of Schneider Communication Group, former President of Wheaton Worldwide, and VP of Communications at AMA Indy — to talk about MARCON Indy, the first major marketing conference in Indiana.We cover:• Why MARCON Indy is different from other marketing events• The gap between AI theory and practice (and how SMBs can use it today)• Why human creativity and analog touches still cut through in a digital world• How marketers can balance data-driven insights with trust and connection👉 If you’re a marketer, operator, or executive feeling the pressure of AI, this conversation will give you clarity and next steps.📌 Resources:🔗 AMA Indy: https://www.indyama.com🔗 AJ Schneider – http://schneidercg.com/🔗 LaunchReady.ai: https://launchready.ai Episode Timeline00:00 – Intro: Why MarCon Indy matters00:49 – Welcome AJ Schneider01:44 – Why AMA Indy launched MarCon02:50 – Theory vs. practice in AI marketing04:53 – The risks of dumping data into ChatGPT07:00 – Security, governance, and consistency09:00 – Knowledge is worthless without human wisdom11:00 – The danger of skipping fundamentals with AI13:36 – Old-school sales & handwritten notes as differentiators15:37 – Content, SEO, and how AI leveled the field17:06 – Differentiating in a world of AI parity19:10 – Relativity and the “more to the story” effect in business21:20 – All-or-nothing adoption vs. patient exploration of tools24:05 – Where MarCon delivers most value (target attendees)26:22 – AJ’s focus on helping SMBs with marketing execution29:03 – Speed round (favorite campaign, overrated trend, future of marketing)30:46 – Final thoughts: Central Indiana’s marketing talent32:23 – Outro: Subscribe + attend MarCon Indy

Executives know they need an AI strategy, but most don’t know where to start.In this interview, Chris Daigle and Harrison Painter break down how leaders can approach AI without the hype. From simplifying adoption frameworks to real-world case studies in retail and healthcare, you’ll get practical insights designed for executives, not engineers.If you’re a business leader, consultant, or executive who feels behind on AI, this conversation gives you the playbook to move forward with clarity.🔹 What You’ll Learn:– Why AI feels overwhelming to executives– Frameworks that make adoption simple– How mid-market companies can compete with enterprise AI– Case studies from retail and healthcare leaders– Practical advice for executives starting today🔹 Connect with Chris Daigle: https://www.chrisdaigle.com🔹 More from Harrison Painter and LaunchReady AI: https://www.launchready.ai