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1:25:49ENShip Weekly, Cut Scope, and Keep a Secret Roadmap: How Captions Builds in the AI EraAnime : Lenny RachitskyGaurav Misra explains how a modern AI startup turns constant model progress into weekly shipped products, technical debt as leverage, and talking-video tools for non-professionals.
1:09:56ENWhen Anyone Can Build Anything, Taste Becomes the Product JobAnime : Lenny RachitskyCodex desktop lead Andrew Ambrosino on how AI has inverted product development, why roles are blurring but shouldn't vanish, and where Codex and ChatGPT are headed.
37:23ENFrom Chat to Always-On Agents: OpenAI's Tibo Sottiaux on Dots, Open Ecosystems and What Comes NextAnime : Lenny RachitskyThe head of ChatGPT and Codex, speaking hours after a DevDay launch of more than 20 products, explains the vision for a personal agent that works around the clock.
40:58ENBuilding AI Products When the Ground Keeps MovingAnime : Lenny RachitskyOpenAI's Kevin Weil and Anthropic's Mike Krieger discuss how AI product management differs from traditional software, from evals and enterprise buyers to computer use, reasoning models, and proactive agents.
1:01:13ENNLX Is the New UX: Microsoft's Aparna Chennapragada on Designing for AgentsInvité : Aparna Chennapragada · Anime : Lenny RachitskyMicrosoft's chief product officer explains how she is building AI products a year ahead of the market, why conversation is a designable interface, and what stays the same for product builders.
56:42ENInside Gong's Product Machine: Pods, Design Partners, and Fast 51/49 DecisionsAnime : Lenny RachitskyEilon Reshef explains how Gong pairs autonomous product pods with design partners, makes quick decisions, and builds AI products with measurement and expertise.
1:02:33ENEmpathy, Half-Built Products and Staying Power: Scott Belsky on Product Sense in the Age of AIInvité : Scott Belsky · Anime : Lenny RachitskyAdobe's chief strategy officer explains how he builds product intuition, why he kills features, how AI could change creative work, and when a founder should quit.
1:17:34ENThe Three Flavors of AI Product Management — and What Separates the Top 5%Anime : Lenny RachitskyAman Khan, director of product at Arize AI, explains how PMs can break into AI, prototype their way to influence, and thrive as a long-term individual contributor.
1:06:22ENWhen AI Writes 90% of the Code: Anthropic's CPO on New Bottlenecks, Builders and MCPAnime : Lenny RachitskyMike Krieger on how product work changes inside Anthropic, why he shut down Artifact, and where AI founders can build without being squashed.
1:46:33ENFrom Chaos to a Failure Map: A Hands-On Primer on AI EvalsInvité : Hamel Husain, Shreya Shankar · Anime : Lenny RachitskyHamel Husain and Shreya Shankar walk Lenny Rachitsky through a real error-analysis workflow, from reading traces to building a trustworthy LLM judge.
1:25:15ENProduct Management Theater and the Road Out: Marty Cagan on TRANSFORMEDInvité : Marty Cagan · Anime : Lenny RachitskyThe SVPG founder explains why many PM roles are really project management, how AI raises the stakes, and how companies can move from feature teams to empowered product teams.
1:36:53ENIdeology, Restraint and the Core: Peter Sellis on Building Product Teams That WinAnime : Lenny RachitskySnapchat's first PM and former Discord head of product speaks candidly about team design, why the median PM is weak, and where consumer growth really comes from.
1:55:28ENPlan Your Chess Moves: Peter Deng on Building Products Used by BillionsAnime : Lenny RachitskyThe former product leader at OpenAI, Instagram, Uber and Facebook explains how he scales products, assembles teams and hires people who eventually don't need him.
1:04:27ENPeter Deng on Why AI Pricing, Evals and Voice Are Still MisunderstoodAnime : Jacob EffronA product leader's guide to pricing AI around work, making evals the spec, and why voice and proactive agents are underrated
1:02:11ENBuild Like a Lab: Josh Woodward on Finding, Testing and Killing Product Ideas in the AI EraAnime : Lenny RachitskyThe head of Google Labs, the Gemini app and AI Studio explains how to spot ideas that are almost possible, read early product-market fit in people's eyes, and run a frontier team inside a large company.









