Why AI Review Cannot Keep Up With the Decision
That human review becomes a bottleneck as agents scale is now widely observed. Five or ten agents working in parallel produce more decisions than one reviewer can evaluate, and under queue pressure the review degrades into approval without examination. The usual response is to move up a level, reviewing intents and boundaries rather than individual outputs.