Best Chain of Thought Episodes for AI Founders
Building an AI company: defensibility, GTM, and where the market stands.
These conversations cover the decisions behind an AI business: moving a demo into production, designing a company around AI, finding customers and measuring a buyer’s return. Start with Aurimas Griciūnas on defensibility, then compare the growth and customer arguments with Kelly Vaughn’s assessment of the agent market.
- 5 episodes
- 8 guests
- 3 hours of listening
- 2 jump-to moments
- 1
From Demo to Defensibility: How to Build an AI Business that Lasts | Aurimas Griciūnas Aurimas Griciūnas, SwirlAI Aurimas Griciūnas on the founder’s core problem: getting from an impressive demo to a business that survives contact with production. - 2
Building an AI-Native Startup | GrowthX's Marcel Santilli Marcel Santilli, GrowthX GrowthX’s Marcel Santilli on what it means to build AI-native from day one, not bolt AI onto an old shape. Jump to the moment · 6:33 · Rebuilding from first principles → - 3
Taste Is The New Moat: Why Customer Obsession Wins in the AI Era | Bharat Vasan, Intangible Bharat Vasan, Intangible Bharat Vasan on taste, distribution and customer obsession as the cost of creating software and content falls. - 4
The Agent Bubble Debate | Spot AI's Kelly Vaughn Kelly Vaughn, Spot AI Kelly Vaughn on where the agent hype holds up and where it falls short. Worth hearing before betting on agents. Jump to the moment · 32:31 · Useful agents amid the hype → - 5
Why Most Enterprise AI Projects Fail to Show ROI | HP, ServiceNow & Accenture Vikram Chatterji, Alex Klug, Sriram Palapudi & Jay Subrahmonia Why most enterprise AI projects never show ROI, told from the buying side. Useful context if you sell AI into the enterprise.
- Best Chain of Thought Episodes for Engineers Shipping with AI: the craft, the workflow, and where it falls short.
- Best Chain of Thought Episodes on AI Agents How agents work: architecture, memory, context, frameworks.
- Best Chain of Thought Episodes on AI Evaluation Measuring whether AI works: evals, reliability, trust.
- Best Chain of Thought Episodes on Agent Memory How agents remember: memory stores, context engineering, and what breaks without them.
- Best Chain of Thought Episodes on Multi-Agent Systems Many agents, one system: orchestration patterns, protocols, and the overhead they add.
- Best Chain of Thought Episodes on Open Source AI Open weights, open ecosystems, and what they cost in production.
- Best Chain of Thought Episodes on AI Coding Agents What changes downstream when agents write most of the code.
- Best Chain of Thought Episodes for Enterprise AI Leaders Getting AI past the pilot: ROI, rollout, and the data underneath it.
- Best Chain of Thought Episodes on AI Security Attacking agents, defending them, and the part software cannot cover.
- Best Chain of Thought Episodes on RAG & Retrieval Getting the right context to the model: chunking, vectors, graphs, and what breaks at scale.
- Best Chain of Thought Episodes on AI Infrastructure & Hardware What AI runs on: power, GPUs, networks, kernels and small models.
- Best Chain of Thought Episodes on Building AI Products Deciding what to build, setting a quality bar and shipping fast.