Best Chain of Thought Episodes on AI Agents
How agents actually work — architecture, memory, context, frameworks.
- 1 The AI Framework Era Is Over: Why Context Is the Moat | Jerry Liu Jerry Liu, LlamaIndex Jerry Liu on why the framework matters less than the context you feed it — where the real leverage in agents moved.
- 2 Agent Memory: The Last Battleground in the AI Stack | Richmond Alake, Oracle Richmond Alake, Oracle Richmond Alake on memory as the layer that decides whether an agent works across sessions — the part most teams under-build.
- 3 Mastering Multi-Agent Systems | MongoDB’s Mikiko Chandrasekhar Mikiko Chandrasekhar, MongoDB Mikiko Chandrasekhar on when many agents beat one — and the coordination problems that come with them.
- 4 The Emerging AI Agent Stack | CrewAI’s João Moura João Moura, CrewAI CrewAI’s João Moura maps the emerging agent stack — the layers you’re actually assembling when you build one.
- 5 Got Agents? Agentic Workflows & Architecture | Weaviate, Unstructured & CrewAI Brian Raymond, Bob van Luijt & João Moura A foundational round on agentic workflows and architecture — the anatomy of an agent before the hype.
- Best Chain of Thought Episodes for AI Founders Building an AI company — defensibility, GTM, and the market reality.
- Best Chain of Thought Episodes for Engineers Shipping with AI — the craft, the workflow, and the reality checks.
- Best Chain of Thought Episodes on AI Evaluation Measuring whether AI actually works — evals, reliability, trust.