Free cookie consent management tool by TermsFeed Generator

Where Curiosity Meets Practice

Notes from the trenches of real projects. What worked, what didn't, and why — no marketing spin.

Featured

Featured

Cost optimization for agentic systems

With agents, a single request can fan out into model calls, retrievals, retries, and tool actions that cost far more than the prompt suggests. Here's how I measure, allocate, and govern that full cost — not just the token line — and tie it to outcomes.

Understanding Microsoft Power Platform Licensing: A Practitioner's Reference (Rev. 3)

A practitioner's reference for Power Platform core, Copilot Studio, Dataverse, Dynamics 365 Contact Center, and Dynamics 365 Customer Service.

Creating Skills for Copilot Studio Agents: How to use the SKILL.md and Behavior-as-Code

This write-up shows how to build Skills in the new Copilot Studio agent experience. It covers the SKILL.md format, bundling scripts and resources, authoring and uploading, how the orchestrator uses them, and governance. It is separate from the legacy Bot Framework skill.

Ship Copilot Studio Agents with Confidence: Master Automated Testing with the Copilot Studio Kit

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.

Migrating from Agent Builder (Copilot Studio Lite) to Copilot Studio

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.

Power Fx in Copilot Studio - The Computational Backbone of Enterprise Agents

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.

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 Multi‑Agent Orchestration - Embedded Agents, Connected Agents, and MCP—Architecture, Advantages, and Implementation Patterns

Explore how Microsoft Copilot Studio's multi-agent orchestration enables specialized agents to collaborate across systems using embedded agents, connected agents, and the Model Context Protocol (MCP). Learn architectural trade-offs, governance implications, and practical implementation patterns to scale your agent ecosystem effectively.

Hello, I’m Holger

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.

Meet me