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Stories, Journeys, and Ideas for the crazy ones.

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.

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Building Intelligent, Agentic Applications in VS Code - A Technical Deep Dive into the AI Toolkit Extension Pack

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#.

Designing a Multi-Agent System in Copilot Studio for Dynamics 365 Customer Service & Sales

High-volume inbound channels — emails, chats, and calls — drain service and sales teams when most queries are routine. A multi-agent system in Microsoft Copilot Studio can autonomously handle product lookups, quote generation, troubleshooting, and recruiting guidance, escalating only the exceptions to human reps. This article shows you how to architect, deploy, and govern specialized agents that integrate with Dynamics 365 Customer Service and Sales, cutting response times and freeing your teams for high-value work.

Copilot Studio Kit - you can't improve what you can't measure

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.

Application Lifecycle Management und Environment Strategy in Microsoft Copilot Studio

a structured approach to building and deploying AI agents

Copilot Studio Extension for VS Code - Enhancing AI Agent Development with an additional code view

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.

Add User Authentication to Topics

Learn how to add user authentication to specific topics in Microsoft Copilot Studio, enhancing security for sensitive information access.

Copilot Control System - Governing and Administering Copilot and AI Agents

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 - The Future of Automation

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.

Hello, I’m Holger

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.

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