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Where Curiosity Meets Practice

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

Featured

Featured

Prompt Libraries Are Reusable Text - Skills Are Reusable Expertise

Custom skills replace the prompt library as the way organizations package know-how in Microsoft 365 Copilot. Here is what a skill actually is, why it beats a prompt, and why Agent Builder is enough for most of them - no Copilot Studio required.

Long-Running Business Processes in Copilot Studio: State Tables, Agent Flows and Multi-Agent Orchestration

Building long-running business processes in Copilot Studio using standard harness, state tables, agent flows, and multi-agent orchestration. Boring but effective and save

Multi-Agent Orchestration in Copilot Studio - Pick the Harness First

Child agents, connected agents, A2A, MCP, and the new skills: which of them exist in which harness, why, and how I decide before a single agent gets built.

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.

Implementing Copilot Studio Agent flows

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.

Implementing Pay-As-You-Go Payment for Copilot Studio Agents and Agent Flows

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.

Integrating AI Builder Prompts into a Copilot Studio Agent

Learn how to integrate AI Builder prompts into Microsoft Copilot Studio agents to enhance workflows and productivity.

Use the Model Context Protocol (MCP) with Copilot Studio

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.

AI-Accelerated Customer Service - Transforming the Future of Customer Support

AI is revolutionizing customer service, offering solutions that enhance efficiency, reduce costs, and improve customer satisfaction. Microsoft's innovative AI-driven tools like Microsoft Copilot, Microsoft Agents, Dynamics 365 Customer Service, and Dynamics 365 Contact Center are transforming customer service operations. This article explores how AI accelerates customer service and empowers agents.

Accelerate Your Journey to AI-First Selling

Microsoft's AI Accelerator for Sales is a groundbreaking initiative designed to revolutionize sales processes through AI-driven tools and intelligent agents. As a sales manager or business executive, you'll discover how this program can enhance productivity, streamline operations, and drive profitability. Learn from the success stories of industry leaders like Lenovo and Lexmark and find out how your organization can benefit from adopting these cutting-edge AI solutions.

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.

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