UNITARES

Help me integrate UNITARES into my multi-agent customer support system. Design check-ins to continuously evaluate each agent’s health, confidence, and anomalous behavior, and return actionable correction verdicts when risk is high.

A monitoring and verdict plan for a multi-agent system, including metrics, triggers, and corrective actions.

I have an AI agent that autonomously uses tools and writes code. Use UNITARES to define runtime governance rules that intercept and guide self-correction when the agent drifts from goals, has low confidence, or behaves abnormally.

A set of runtime governance rules showing when to alert, when to block, and how the agent should self-correct.

Using UNITARES, create safety guardrails for my AI agent fleet. Define periodic check-ins and output health scores, risk levels, and final verdicts for pre-production validation.

A production-oriented agent governance design, including check-in cadence, scoring logic, and pre-launch validation criteria.