Building an AI Agent That Generates Test Data

Building an AI Agent That Generates Test Data

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Recently, I was creating an agent with the goal to identify potential incidents in Teams community of practice channels. I started building this agent to find problems such as “I need help” and create ServiceNow incidents from its information. Testing it meant feeding realistic support cases into the system. But here’s the problem: real support data contains sensitive information. Project names. Client issues. Internal struggles. You can’t demo that publicly. You can’t even use it safely in testing. This isn’t…

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Goodbye Limits, Hello Microsoft Foundry

Goodbye Limits, Hello Microsoft Foundry

Recently I stumbled into an issue with my GitHub Copilot coding agent. Yes, correctly — I reached the premium request limit in my Visual Studio Code. And everybody knows, a throttling to an old LLM feels like driving an old timer. I’d been deep in spec-driven development using GitHub’s Spec Kit. This toolkit lets AI agents generate implementations from specifications. It helps you build high-quality software faster. Powerful. Efficient. Game-changing. But when you hit that limit? Everything changes. GitHub Copilot throttles…

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Workflow Troubleshooter Agent – My Supportive Super Hero

Workflow Troubleshooter Agent – My Supportive Super Hero

Ever had a critical workflow break at the worst possible moment? Picture this: an approval is stuck. A notification never arrives. The business is already waiting. And somewhere in the background, a workflow has silently failed. I’ve been there. You know something’s wrong, but finding the root cause feels like searching for a needle in a haystack. Logs are scattered. Errors are cryptic. And every minute of investigation adds more pressure. That’s when I decided I needed more than alerts…

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Lightweight Monitoring for Critical Workflows

Lightweight Monitoring for Critical Workflows

Some time ago, I built a larger Dataverse solution that included a whole bunch of automated workflow tasks. Everything worked fine during development. Then I deployed the solution and quickly realized a painful truth: all these workflows were running completely unobserved. I found myself waiting for a result that simply didn’t appear. I couldn’t see what went wrong in real time. I only got clarity at the end of the day when one of those delayed summary emails showed up….

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Agents, Agents, Agents

Agents, Agents, Agents

The Agents topic is everywhere and omnipresent. Everybody tells you; this is the next big thing. You need an army of agents that finish your work. But how do I build such agents? Should I go for pro-code or for low-code? Should I use AI Foundry or Copilot Studio. Furthermore, what is a good example of building an agent? This was also the billion dollar-question for me. Today, I will showcase a small example to you where I will build…

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Integrate Documentation in Model-Driven Apps

Integrate Documentation in Model-Driven Apps

During the last Power Atelier, I got asked: “Hey Michael, how do you usually document your Power Platform solutions?” I said, “I typically use Atlassian Confluence for documentation and Draw.io for architecture diagrams.”That kicked off a great discussion – and then someone followed up with,“Those diagrams and visuals are awesome! I’d love to integrate that documentation in my model-driven apps. But how can I do that?” I thought about it for a moment… and then I had an idea. What…

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Using AI for Data Correction

Using AI for Data Correction

How do you usually use Generative AI? That’s a question I get asked quite often. Most of the time, my answer is something like this: “I use it to summarize texts. I also draft ideas together with the AI, and it helps me write content more efficiently.” But this is just one piece of the puzzle. In automation scenarios within the Power Platform, I also utilize AI for data correction. Today, I will explain how this process works. In detail,…

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Pretty Print JSON within Flows

Pretty Print JSON within Flows

Some weeks ago I prepared my presentation about AI Foundry Content Understanding for the Baltic Summit 2025 at Gdansk, Poland. In detail, I have built a small model-driven app as frontend for my demo. My goal was to upload first my PDF file into my Dataverse table from my app. Next, I would start my automation scenario based on Power Automate flows. After completion of my content understanding analyzer, I would then show the resulting JSON in my app. So,…

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Content Understanding from Power Platform

Content Understanding from Power Platform

In one of my last blog posts I introduced my new friend AI Foundry Content Understanding to you. Here I have explained in detail how you can set up Microsoft’s new AI service offering for your documents. Furthermore, I showed you how I deployed my document analyzer in Azure. As result of this exercise, I got an endpoint that I can now use in one of my use cases. In other words, now I can start working with my custom…

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