A new protocol for closed-loop AI evaluation is proposed, addressing the risk of perfectly reproducible evaluations supporting incorrect claims. The protocol involves three actions: refuse, decompose, and refresh. This development is relevant to people building and operating AI agents as it provides a new framework for evaluating AI performance and preventing incorrect claims.