Trust but Verify: Testing Agents in Copilot Studio
Microsoft Developer explains why AI agents that look good in demos can fail in production, and outlines a practical approach to testing agents built with Microsoft Copilot Studio—covering prompts, grounding, actions, and orchestration under real user behavior.
Overview
The video focuses on what it means to trust an agent in production, not just see it succeed in a controlled demo.
What changes in production
- Users won’t follow a script, so “happy path” testing is not enough.
- Prompts can behave differently with real inputs.
- Grounding can become unreliable or “creative” when conditions change.
- Actions that seemed dependable in testing can fail or behave unexpectedly.
What to test in Copilot Studio agents
- Prompts: validate behavior beyond a few sample conversations.
- Grounding: verify the agent stays anchored to the intended sources/constraints.
- Actions: confirm the agent reliably triggers and uses actions as expected.
- Orchestration: test end-to-end behavior when multiple steps/tools are involved.
Related resources
- Learn to build AI agents step-by-step: https://aka.ms/agent-academy
- Agent Academy Hackathon: http://aka.ms/agent-academy-hackathon
- Copilot Cowork collective: https://aka.ms/cowork-collective