Ai Agent Workflow

This is a comprehensive cookbook for building AI agents that can survive restarts and reconnections. It walks you through the full stack: setting up Postgres with Drizzle, adding auth with Better Auth, persisting chat history, and then layering on the Workflow Development Kit for durable execution. The key idea is that your agents can resume mid-stream if a client disconnects or a server crashes, with step-level persistence keeping track of where things left off. It's clearly opinionated about the stack (Neon, Better Auth, Pino logging), but if you're building something like a long-running research agent or multi-step automation where reliability matters more than speed, this gives you the infrastructure to handle failure gracefully.