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.
A practical architecture and implementation guide for deploying AI agents on-premises using Azure Local, Foundry Local, and Microsoft Agent Framework.
On March 31, 2026, Microsoft launched Agent Evaluation in general availability, fundamentally changing how teams validate Copilot agents. This guide explains how Agent Evaluation and the Copilot Studio Kit serve different—but complementary—roles in your quality assurance strategy, and when to use each one.
Azure Local is Microsoft's distributed infrastructure solution that extends Azure capabilities to customer-owned environments. This article provides a comprehensive overview of Azure Local, Foundry Local, and Microsoft 365 Local, their use cases, deployment options, and best practices for IT architects and decision-makers considering on-premises Azure solutions. With an appendix on agentic AI use cases on Azure Local and Foundry Local.
Learn how to effectively capture and analyze telemetry data in Microsoft Copilot Studio using Azure Application Insights.
Microsoft Copilot Studio's new deep reasoning models significantly advance AI agent capabilities, enabling complex problem-solving, logical analysis, and multi-step decision-making. This feature empowers organizations to build virtual agents that can analyze unstructured data, make contextual recommendations, and support sophisticated business processes—all while maintaining accuracy and thoughtful analysis. Learn how deep reasoning models are transforming AI agents from simple Q&A tools into powerful decision-support systems for business intelligence, operations, education, and customer support.
Learn how to build conversational AI applications using Microsoft Fabric Data Agents and Azure AI Agents.
Agent flows are a powerful way to automate repetitive tasks and integrate your apps and services. These intelligent automation workflows can be triggered manually, by other automated events or agents, or based on a schedule, providing flexible options for process automation. By leveraging agent flows, organizations can streamline operations, reduce manual intervention, and ensure consistent execution of business processes.
This article explores the implementation of a pay-as-you-go (PAYG) payment model for Copilot Studio agents and agent flows, highlighting its economic advantages, practical setup guidance, and monitoring strategies. By adopting the PAYG model, organizations can optimize resource allocation, reduce upfront costs, and maintain operational continuity while leveraging advanced AI capabilities.
Learn how to integrate AI Builder prompts into Microsoft Copilot Studio agents to enhance workflows and productivity.
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.
