Jev for Evaluating Agent Actions: Dynamic Rules w/ Deterministic Enforcement (13 Min Live Event)

Not every control decision is a clean yes or no. Whether a proposed action fits the current task, matches user intent, or looks like normal behavior for this agent is often a judgment call, and that’s exactly the kind of check a model is well suited to make. The mistake is letting that judgment also be the enforcement. Jev, a decision model built for exactly this role, evaluates state against typed questions and returns a probability, but that answer only ever informs a policy decision made in application code before it reaches a tool.

This session covers how to bring model judgment into agent controls without letting the model become the control itself, so enforcement stays deterministic even when the questions being asked aren’t. We’ll demonstrate in a customer support context by checking a proposed Slack escalation against a customer’s support email before allowing it to send.