An Organizational Second Brain
Engineering at Meta
Meta described an organizational AI agent that stores a compliance-domain “second brain” by separating structured, auditable knowledge from executable expert reasoning and updating it from human feedback without retraining. It says restructuring from a single instruction file to recipe-driven stages cut tokens consumed per turn by around 80%. As a result, experts can review checkpointed reasoning, and the system can compile validated updates into a growing institutional memory that remains editable and auditable.
Why it matters
Meta describes an AI “second brain” built from structured, auditable knowledge files rather than retrained model weights. The system separates facts from procedures, turns expert feedback into regression-tested updates, and reduces assessment work from days to minutes while keeping changes transparent and reversible.