Why Your AI System Keeps Failing (And How to Fix It)

A stochastic model becomes operationally usable when the process around it has a deterministic exit gate. The useful move is to check outputs with type checkers, tests, schemas, or other pure automated measurements, then regenerate until the gate passes. When verification is cheap relative to generation, randomness becomes exploration and the gate turns retries into a quality ratchet.