An Organizational Second Brain: Building an AI That Learns From Experts

This post details the development of an AI agent designed to act as an organizational "second brain" by learning from expert feedback without requiring model retraining. Key technical contributions include: a structured, auditable knowledge architecture separating knowledge from reasoning; a self-improvement loop that compiles expert feedback into verified updates; the use of composable procedures called "recipes" to define imperative analytical workflows; and a system for organizing knowledge based on density and usage frequency, splitting it between a curated wiki and supplementary retrieval-augmented generation (RAG). The system also incorporates mechanisms for human control through checkpoints and escalations.