Feedback Is the Control Plane: Preventing AI Systems From Repeating the Wrong Behavior

TL;DR AI systems generate enormous amounts of feedback: user ratings, evaluation scores, tool results, policy decisions, memory writes, retrieval outcomes, business metrics, incident data, and human corrections. The dangerous assumption is that more feedback automatically creates a better system. It does not. Feedback becomes useful only after the organization determines whether the evidence is tr