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.
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.
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.
The Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It enables seamless connections to data sources and tools through a client-server architecture, offering features like pre-built integrations, flexibility, security, extensibility, and interoperability.
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.
