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Not Technical? Start Here: How Prompting Opens the Door to AI

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I don’t have a technical background. And one post about prompting changed everything. On Friday 24 April at 08:30 CEST, I’m presenting at NMTC - the Norwegian Microsoft Technology Community - on:  From Frontline to Low-Code: Building Governed AI Agents Without a Computer Science Degree. This talk comes from a real shift in how I think about AI - and who belongs in it. Register HERE  (I will be presenting in Norwegian) Where this started I spent ten years working in frontline health and social care before I ever touched low-code tools. For a long time, I assumed that meant I was behind - that AI and technology belonged to people who had always worked in those spaces. Then I came across something simple: structure your prompts better. That was the turning point. Not because it was complex - but because it wasn’t. How CGSE came about I didn’t learn prompting from AI. I learned it from social work. Inspired by Microsoft’s GCSE structure, I adapted it into something that made sens...
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Beyond 13 Skills: How Copilot Cowork Is Redefining AI Workflows

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Cowork has 13 skills. Here is why the architecture matters more than the count. When I first looked at Copilot Cowork, I did what most of us do. I scanned the list. Word. Excel. Email. Research. Familiar tools, repackaged. But that framing does not hold for long. Because Cowork is not designed as one system doing everything. It is designed as a system that decides what to do, when  and shows you as it does it. Cowork helping me prep for my NMTC talk (NO)- Register to join online 24.04.26 (08:30-09:30 CEST   What is actually happening Cowork loads skills on demand. Not all at once. Not invisibly. When it needs something, it activates it. You see it in the interface: Preparing to compose email Loading Deep Research Building a document It is a small detail, but it changes something important. In environments where decisions matter care, public sector, regulated spaces, knowing what is acting is part of trust. Not just the output. The 13 skills (and why t...
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From Building to Operating: What the Microsoft 365 Agents Checklist Actually Tells Us

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Why being ready to build isn’t the same as being ready to deploy In my last post, the signal was clear, we’ve moved past hesitation. People are building in Copilot Studio, experimenting, and focusing on personal improvement, developing skills, learning by doing, and starting to see real value. And that’s exactly where many of us are right now: we’ve invested the time, built some agents, and started to see what’s possible. That’s the good part. The gap? Deployment. Because deploying Microsoft 365 agents isn’t a feature toggle - it’s a shift in how you operate. When I went through Microsoft’s official checklist, it reinforced something important: most of the complexity isn’t in building agents - it’s in running them safely, consistently, and at scale. Source: Microsoft Step 1. Successful deployment starts with people Deployment is not a solo effort. It requires cross‑functional orchestration: Copilot Administrator – owns Copilot Control System (CCS) and agent lifecycle. Microsoft 365 A...
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I passed AB-730 (Microsoft AI Business professional certification). Here is the Copilot Studio agent I built to do it.

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A practical walkthrough of building a Copilot Studio agent connected to the Microsoft Learn MCP server - what worked, what confused me, and what I would do differently. If you have been putting off studying for AB-730 -AI Business professional , this might change that. I built a dedicated study tutoring agent in Copilot Studio, connected it to the Microsoft Learn MCP server, and used it to prepare for the AI Business Professional exam. Here is exactly what I built and what I wish I had known earlier. Why I built it this way and what is MCP? The AB-730 exam tests precision, not broad knowledge. It focuses on specific details about how Copilot works across Microsoft 365, Responsible AI guardrails, and governance boundaries. A general AI chat tool drifts. It gives answers that sound right but are not grounded in the actual Microsoft documentation. I needed something that stayed on source. That is what MCP makes possible. Model Context Protocol (MCP) allows users to connect with existing ...
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