Using Jev as a pre-execution judge for AI agents
The author argues for placing Jev between an agent's intention and execution to make bounded judgments such as whether an action matches the request, is reversible, touches credentials, or needs approval, with deterministic code then deciding to execute, confirm, or escalate.
YOUR AI AGENT DOESN’T NEED ANOTHER BRAIN. IT NEEDS A JUDGE. Agents can now write code, operate browsers and execute workflows. The dangerous part is letting the same model propose an action, approve it and perform it. Jev can sit between intention and execution. Before the agent sends money, deletes data or runs a command, ask: Does this match the user’s request? Is it reversible? Does it touch credentials? Does policy require approval? Jev returns bounded judgments and probabilities. Then deterministic code decides whether to execute, request confirmation or escalate to a human. The agent remains creative. The gate remains boring. That is exactly how trustworthy automation should work.
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