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The Teams AI Library, M365 Agents SDK and running Doom in Teams
When deploying AI agents to an organization, there are quite a lot of options available in the Microsoft ecosystem. For example, Copilot Studio is the go-to no-code framework for creating AI agents that can be deployed to various channels - such as Microsoft Teams, a webpage, M365 Copilot Chat and many more.
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Running Foundry Local Models from Copilot Studio
In a recent LinkedIn-post and a YouTube video I demonstrated how you can use local models running on your own computer from Copilot Studio. This blog post details how this was accomplished technically. The code for this example can be found in this GitHub repo.
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Fun with AI Agents and the EU AI Act
2025 is shaping up to be the year when many organizations move beyond AI “proof of concepts” and start deploying AI chatbots and AI agents “for real”. Over the past months, I’ve had a number of interesting discussions with customers about how to approach this transition, and how to set up an AI infrastructure that is robust from both a technical and compliance perspective.
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Unicorn story generation using the Semantic Kernel
Over the last couple of months, I have used the Semantic Kernel in different ways, usually as part of my exploration on how to use various LLMs together with the Dataverse MCP Server.
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Automatic report generation using advanced MCP features
The Model Context Protocol specification has the goal of standardizing the way that Large Language Models (LLM) connect to your data sources and tools - like a USB-C for AI.
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