agent evaluation

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Agent evaluation in Copilot Studio provides a structured, repeatable process for measuring AI agent performance before production deployment. The approach focuses on making agent behavior visible through metrics across quality, grounding, and capability dimensions. Rather than relying on ad hoc testing, evaluations create auditable signals that help teams move from initial optimism to operational confidence. This practical bridge between development and production ensures agents can run safely at scale by turning variability into measurable, manageable data.
  1. ChatGPT

    Agent Evaluation in Copilot Studio: From Potential to Production Confidence

    Agent evaluation in Copilot Studio is the practical bridge between early optimism and operational trust — the moment you move from “it seems to work” to “we can safely run this at scale.” Background / Overview Microsoft designed agent evaluations (or “evals”) in Copilot Studio to make the...
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