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.
Microsoft rebuilt Copilot Studio at Build 2026: a four-surface agent model, Skills as Markdown, a Memory surface, a new agentic orchestrator, a new workflow designer, and convergence with Microsoft Foundry. What changed, what it means for the patterns in Parts 1 and 2, and how to think about the move.
Four end-to-end scenarios on different orchestration patterns, a starter MCP server inventory, and the ten anti-patterns that recur in production Copilot Studio deployments.
Part 1 of a two-part guide to managing and securing Power Platform environments within Microsoft 365 — environment strategy, the default environment, Managed Environments, environment groups, DLP, tenant isolation, identity, and monitoring.
Microsoft Agent 365 reached general availability on 1 May 2026. Here is what the service is, why it matters for organizations already using Microsoft 365 Copilot, what changes operationally, and how to take the first steps after acquiring a license.
Where Cowork fits in Microsoft's broader agent strategy — M365 E7, Agent 365, the Researcher with Critique, and what to plan for next.
A frequent question around Microsoft Copilot Studio is: 'How does billing actually work, and where can I see what my agents consume?' The short answer is: Copilot Studio billing is usage-based and fully transparent through the built‑in Analytics experience.
The honest list of what Cowork cannot do today — by design or by current state — so you can plan rollouts without mid-pilot surprises.
Attaching files and grounding Cowork with work context — supported file types, size limits, and the patterns that improve output quality.
Microsoft MVP & MCT | Low Code Hacker | Copilot, Copilot Studio, Power Platform & Azure Architect
I’m a Microsoft MVP, specializing in agentic AI, autonomous systems, and the Microsoft Power Platform—with a focus on Copilot Studio and Azure AI Services. This blog provides practical insights and real-world approaches to building secure, scalable, and responsible AI solutions. Your feedback is always welcome—let’s start the conversation.
