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.
Copilot Studio Kit enhances Microsoft Copilot Studio with powerful tools for testing, monitoring, and optimizing AI agents. This solution enables organizations to measure agent performance through automated testing, conversation analytics, and advanced monitoring, allowing data-driven improvements to custom AI solutions. By providing robust quality assurance and governance capabilities, the Kit helps ensure AI agents deliver reliable, high-quality responses while meeting enterprise requirements for scalability and compliance.
a structured approach to building and deploying AI agents
Copilot Studio (Preview) is a Visual Studio Code extension developed by Microsoft to streamline creating and managing custom agents within the VS Code environment. By integrating with Microsoft Copilot Studio, this extension lets developers work on AI agent components using VS Code's powerful editing features.
Learn how to add user authentication to specific topics in Microsoft Copilot Studio, enhancing security for sensitive information access.
The Copilot control system is an enterprise governance framework for managing AI assistants at scale. It provides comprehensive tools for securing AI data, administering copilots and agents, and measuring business impact. With this unified control system, organizations can confidently deploy Microsoft Copilot while maintaining compliance with security standards, managing permissions, and tracking adoption metrics. This article explores how different stakeholders—from IT admins to business leaders—use the control system to enable responsible AI innovation while mitigating risks
Autonomous agents transform enterprise automation by combining AI-driven intelligence with real-time adaptability. Unlike traditional automation, these systems can perceive, decide, and act independently, continuously learning from data to optimize processes. This article explores how technologies like Microsoft's Copilot Studio are leading this evolution and why implementing autonomous agents is becoming a strategic imperative for forward-thinking organizations.
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.
