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48:31ENA Call Center Contact Costs $13. A Company Agent Can Do It for Under a DollarHost Sarah Guo, Elad GilSierra cofounder and OpenAI chairman Bret Taylor tells No Priors why branded customer agents are shovel-ready, why RAG demos are not products, and how AI software should charge for the job done.
49:50ENUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.
1:21:50ENA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.Host Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.
1:25:11EN105 lines of code, a million impressions, and a VC who refused to found the companyHost Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.
42:25ENThe Transformer Co-Author Who Wants to Give AI a WalletHost Sarah Guo, Elad GilIllia Polosukhin, co-author of Attention Is All You Need and co-founder of NEAR, argues that a blockchain account turns a language-model agent into an economic actor that can hire people and other AIs.
1:45:46ENReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring BotsHost Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.
1:40:44ENGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4Host Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.
1:21:06ENEveryone Talks About RLHF. Almost Nobody Is Doing It.Host Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.
1:32:32ENDevin's Scott Wu on Building an AI Software Engineer and Turning Coders into ArchitectsGuest Scott Wu · Host Lenny RachitskyThe Cognition co-founder explains how his 15-person team uses fleets of Devins to build Devin, what the product can and can't do, and why he expects more engineers, not fewer.
1:11:47ENThe Three-Hour Battlefield: Rahul Vohra on Why Email Survives and Agents Will Inherit the InboxHost Jacob EffronSuperhuman's CEO explains how AI features are designed, why email addresses remain company infrastructure, and how agents may federate across the tools professionals live in.
1:42:11ENTwenty Agents, 1.2 Humans: Inside SaaStr's AI-Run Sales TeamHost Lenny RachitskyJason Lemkin explains how SaaStr replaced a ten-person go-to-market team with AI agents, what it took to train them, and who survives the shift.
1:46:35ENHire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClawsHost Lenny RachitskyClaire Vo explains how she went from losing her family calendar to OpenClaw to running a team of specialized agents across her business, podcast, course and household.
1:19:39ENEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 MonthsHost Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.









