Attention: Reasoning is not acting. Many agent systems mix these two distinct jobs, creating significant risk. Giving direct write access to probability-based models allows stochastic drift to affect production systems.
Interest: The fundamental divide must be recognized. Models can guess and draft proposals, but they are not authority. When a company moves money, deletes data, or alters infrastructure, the action must be verified. The illusion of “self-policing” agents through prompt engineering is weak control. The same model proposing an action cannot serve as the final authority. We must separate the proposal of work from the authorization of work.
Desire: The Execution Authority Thesis provides a structured approach. It divides operations into three layers: the proposal layer where agents read state and draft requests, the governance boundary where strict rules check requests against policies, and the execution layer where actual systems perform the work. This boundary ensures a fail-closed default. If a request cannot be verified against policy, it is denied or escalated. Furthermore, this approach turns proof into a primary primitive, generating signed receipts that provide concrete evidence of the policy state, request, and decision.
Action: Organizations must keep authority outside the model. Build your systems so that models only propose, while a separate, rigid boundary governs all execution. Implement strict execution authority today.