I write about building secure AI agents with Microsoft Foundry and connecting them to enterprise data and tools. These guides cover implementation choices, access control, retrieval, evaluation and operation.Start with Microsoft Foundry project setup, follow the model deployment guide, or compare Agent Skills and MCP. The articles below cover the next implementation decisions.
In this blog post I show you how to build your first AI agent in Microsoft Foundry. We create a project, deploy a model, build the agent in the portal, test it in the playground, and…
Read article: Build Your First AI Agent in Microsoft Foundry Step by Step
A plain, hands-on look at the latest AI models in June 2026 — OpenAI, Anthropic, Google, Microsoft MAI, Mistral and the Chinese open-weight models. I sort them by price, capability and use case, and I explain…
How to run AI models fully offline on a Mac with Microsoft Foundry Local — no Azure, no API key, no internet. Everything runs on your own device.
Read article: Foundry Local: Run AI Models Offline on Your Mac
Build 2026 was not a feature update — it was Microsoft declaring the agentic era a platform. Here is every major announcement, explained in plain language, with what it actually means for the people who have…
Read article: Microsoft Build 2026: A Field Guide to the Agentic Stack
Skills, MCP servers, CLI tools, Computer Use, function-calling, declarative agents — the AI tooling surface has multiplied. Here is the mental model I use to decide which one to reach for, with the trade-offs I actually…
Read article: Skills, MCP, CLI, Computer Use: Mapping the AI Tooling Surface in 2026
Microsoft 365 Agents — the official term for the agentic platform inside the Microsoft 365 stack — moves AI from chatbox to autonomous worker. Here is the practical view from an endpoint admin and Microsoft MVP…
Read article: Microsoft Agent 365 vs. Microsoft 365 Agents: A Field Guide for IT and Architects
Discover an open-source Microsoft Intune tool using Azure OpenAI to generate policy descriptions and detect conflicts across your tenant.
Read article: AI-Powered Intune Policy Documentation and Conflict Analysis
Why CLI tools often outperform MCP for AI agents: less context overhead, learned commands, and better composability.
Read article: CLI Tools vs MCP: Better AI Agents With Less Context
Azure AI Content Safety explained: configure harm filters, Prompt Shields, groundedness, protected material and production guardrails in Microsoft Foundry.
Read article: Azure AI Content Safety Guide: Filters and Best Practices
My daily productivity toolkit: Akiflow, Raindrop, Claude, Codex, Bitwarden and more tools that keep work simple and focused.
Read article: 8 Productivity Tools I Use Daily for AI, Coding, and Planning
