Why AI Agents Ignore Your Rules—And How to Make Them Listen

AI agents often treat configuration rules without context as soft suggestions rather than hard constraints. When rules include their underlying mechanism—the specific failure mode they prevent—agents can reason beyond literal interpretation and apply principles to unforeseen cases. This shift from vague prohibitions to mechanism-based guidance, combined with specialized agents and single sources of truth, transforms configuration from a frustrating guessing game into reliable control.