Multi-Agent Orchestration in Copilot Studio - Pick the Harness First
Child agents, connected agents, A2A, MCP, and the new skills: which of them exist in which harness, why, and how I decide before a single agent gets built.
Notes from the trenches of real projects. What worked, what didn't, and why — no marketing spin.
Child agents, connected agents, A2A, MCP, and the new skills: which of them exist in which harness, why, and how I decide before a single agent gets built.
A practitioner's reference for Power Platform core, Copilot Studio, Dataverse, Dynamics 365 Contact Center, and Dynamics 365 Customer Service.
As AI agents become integral to business processes, reliable and repeatable testing is essential for confidence in deployment. This article introduces the Multi-Agent Test Environment (MATE) – an enterprise-grade framework for automated testing of AI agents across platforms and frameworks – and explains how its modular design addresses key challenges in agent testing. We explore why testing AI agents is critical, delve into MATE's architecture and features, compare MATE with alternative testing approaches, and outline MATE's roadmap, including red-team testing, enhanced cloud deployment, and support for emerging agent frameworks.
Choosing the right testing tool for your Copilot Studio agents: A detailed comparison of Copilot Studio Kit and Agent Evaluation (preview) to help you decide when to use each tool for optimal agent quality.
An in-depth exploration of Microsoft Frontier Agents, their architecture, capabilities, and impact on enterprise AI transformation.
Master automated testing for Copilot Studio agents with the Copilot Studio Kit. Learn Phase-4 testing practices, multi-turn validation, compliance checks, and how to integrate tests into Power Platform pipelines for enterprise-grade deployments.
A comprehensive guide to transitioning your conversational agents from the simplified Agent Builder within Microsoft 365 Copilot to the full-featured Copilot Studio environment, unlocking advanced capabilities for enterprise-scale AI solutions.
Building production-ready conversational agents in Microsoft Copilot Studio requires mastering a critical architectural principle: the LLM handles the words, Power Fx handles the computation.
Microsoft MVP & MCT | Low Code Hacker | Copilot, Copilot Studio, Power Platform & Azure Architect
I’m a Microsoft MVP focused on agentic AI, intelligent agents, and enterprise AI solutions. Using Microsoft Copilot Studio and Azure AI Foundry, I design and build systems that help people and organizations work smarter. This blog is a collection of field notes, practical insights, and real-world experiences—from architecture and orchestration patterns to lessons learned along the way. Your feedback is always welcome—let’s continue the conversation.