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This article proposes a protocol for AI agents that replaces knowledge-based inference with presence-based verification using a declarative Checklist, ensuring that agents only ask for missing information and execute deterministically based on declared requirements.
This article argues that the AI safety debate is misdirected, focusing on model alignment and internal controls instead of the critical boundary: external admission authority over agent execution. It warns that systems capable of self-authorizing high-impact actions (e.g., deploying code, moving money) pose a fundamental risk that logging and monitoring cannot mitigate.