Join me on a journey where every post brings a fresh perspective. This blog is for those who are driven by curiosity and a desire to learn.
Four end-to-end scenarios on different orchestration patterns, a starter MCP server inventory, and the ten anti-patterns that recur in production Copilot Studio deployments.
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.
Explore how the Visual Studio Code AI Toolkit Extension Pack enables seamless development of intelligent, agentic applications from local prototyping to cloud deployment with Microsoft Foundry. This article provides a technical deep dive into model selection, agent orchestration, MCP tool integration, evaluation pipelines, and runtime tracing, complete with YAML-to-code examples in Python and C#.
Microsoft MVP & MCT | Low Code Hacker | Copilot, Copilot Studio, Power Platform & Azure Architect
I’m a Microsoft MVP, specializing in agentic AI, autonomous systems, and the Microsoft Power Platform—with a focus on Copilot Studio and Azure AI Services. This blog provides practical insights and real-world approaches to building secure, scalable, and responsible AI solutions. Your feedback is always welcome—let’s start the conversation.
