Category: Copilot Studio
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Defensible beats impressive: designing a governed Copilot Studio agent
A confident wrong answer sounds helpful. It is the worst possible outcome, because nobody thinks to check it. “I don’t know” sounds worse and is…
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Two new agents spent 400,000 Copilot credits in a day, and nobody used them
On the GitHub Copilot harness, a Copilot Studio agent spends credits while you build, test and evaluate it, not only when it runs. At one…
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Copilot Studio agents have no voice, so I built the microphone
I have been building Copilot Studio agents for several years now, and in the car I use the voice feature of M365 Copilot a lot.…
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Your Copilot Studio credit alert is going to the wrong person
Agents on the GitHub Copilot harness consume Copilot credits while you build them, not only when they run. Copilot Studio has per-agent credit limits for…
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Test-Driven Agent Development
I have been building quite a different kind of Copilot Studio agents, but this latest project was the most challenging one. The knowledge source list…
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Techniques for Autonomous Agents in Copilot Studio: Why Loose Instructions Fail
EPPC26 Session Recap — Chris O’Brien European Power Platform Conference, Copenhagen | Thursday, July 2, 2026 | Track: Copilot Studio | Level 300 Chris O’Brien…
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Model Context Protocol vs. Connectors: When to Use What
European Power Platform Conference, Copenhagen | Thursday, July 1, 2026 | Track: Copilot Studio | Level 300 MCP servers are the topic of every conversation…
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Where Copilot Studio Must Stop: Designing Human Escalation Without Breaking UX
European Power Platform Conference, Copenhagen | June 30, 2026 | Track: Copilot and Agentic Platforms | Level 200 “The most trusted agents are the ones…
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Agents Everywhere: Manage, Secure, and Prove Value with Agent 365
EPPC26 Thursday keynote recap: Nirav Shah (Microsoft) introduces Agent 365 — the unified control plane for governing AI agents across Microsoft and third-party platforms. Covers…
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Unleashing the Power of RAG in Copilot Studio
Rick Van Rousselt’s EPPC26 deep dive on RAG in Copilot Studio: chunking, embeddings, knowledge source comparison, a cautionary 100%-accuracy case study, and a production evaluation…
