The same property that makes AI powerful—probabilistic behavior—creates variance you must actively control.
AI is powerful because it is probabilistic. That same property creates variance, drift, and unexpected behavior in the wild. You cannot assume production behavior from a clean demo or a narrow test set. Supervision turns that uncertainty into something you can measure, control, and continuously improve.
Think Six Sigma for variance, clinical trials that watch for known and unknown effects, and a circuit breaker that trips before damage occurs.
Supervision means active measurement and policy-driven control across the lifecycle. Treat agents like you would a new hire: set expectations, baseline performance, watch for outliers, enforce policy, and coach for improvement.
Supervision is different.
