Welcome to PowerAI Labs — my engineering notebook in public. This is where I’ll write down what I’m building, what I’m breaking, and what survives contact with production on the Microsoft AI stack.
Why this site exists
After more than fifteen years shipping enterprise solutions across Dynamics 365, Power Platform, Copilot Studio and Azure AI, I’ve collected a lot of architecture decisions, hard-won lessons and reusable patterns. Most of them live in private Confluence pages, customer engagements and my own notes. PowerAI Labs is where I’m pulling the ones I can share into the open.
What you’ll find here
- Architecture deep-dives — reference architectures, decision logs and trade-off analyses for AI agents, RAG, and Power Platform solutions at enterprise scale.
- Lessons from production — the things that don’t make it into vendor docs: cost surprises, throttling, governance, prompt drift, eval pipelines.
- Tutorials and walkthroughs — hands-on guides for Copilot Studio, Microsoft 365 Copilot agents, Azure AI Foundry and the rest of the stack.
- Projects — open-source experiments like LocalRAG, TrafficIQ and MakeLifeEasy.
The point of view
AI in the enterprise is exciting and chaotic at the same time. The vendor demos are perfect; the customer environments are not. My bias is towards architectures that are boring on purpose — strongly typed contracts, explicit data lineage, evaluable agents, and a default of “make it observable before you make it autonomous”. Everything I publish here is filtered through that lens.
Stay in touch
If a post is useful, share it. If something is wrong, tell me — I’d rather be corrected than confident. You can reach me at contact@powerailabs.dev, on LinkedIn, or via GitHub.
— Raghav
PowerAI Labs 
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