Compact action maps can predict AI agents’ next moves and failures, a user says

Long AI agent traces can be reduced to a compact map of recurring actions—such as search, edit, execute and submit—according to a user sharing “Automata from Agent Traces: Failure and Next-Step Prediction.” The user describes combining many past runs into one finite-state machine, says it can predict next moves and failing runs, and argues that teams should monitor this structure rather than only raw traces.