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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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Featured

Empowering AI Agents with Deep Reasoning in Microsoft Copilot Studio

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.

Copilot Studio - a curated link list

summary lede: Discover how Microsoft Copilot Studio empowers business users to create and customize AI agents with ease. This curated guide offers a comprehensive overview, hands-on workshops, and essential resources to help you become a citizen d...

Empowering AI Agents with Deep Reasoning in Microsoft Copilot Studio

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.

Creating Conversational AI with Microsoft Fabric Data Agents and Azure AI Agents

Learn how to build conversational AI applications using Microsoft Fabric Data Agents and Azure AI Agents.

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.

Hello, I’m Holger

Microsoft MVP & MCT | Low Code Hacker | Copilot, Copilot Studio, Power Platform & Azure Architect

I specialize in conversational AI, robotic process automation, Microsoft Power Platform with focus on Copilot Studio, delving into the intricate details that keep architects up at night. I highly value your feedback on my articles and would love to invite you to a professional discussion. As a Principal Architect at NTT DATA, my focus is on Microsoft Power Platform and Azure.

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