After building hundreds of automations, the most irritating task is debugging a multi-step workflow that reports success while the business outcome quietly failed. The trigger fired, but the CRM field mapped incorrectly. The message generated, but never sent. The agent completed its step, but nobody verified the handoff. Actually, production reliability needs four layers: input validation, confidence thresholds, retry logic, and outcome verification. If I still have to watch every run, it is not automation yet. It is a supervised demo. The single improvement I want is simple: AI should prove the intended result happened, or identify the exact step where it stopped.