The Model Context Protocol (MCP) is the open standard for connecting AI models to tools and data. It was first introduced to the world by Anthropic in November 2024, and is now the most widely adopte...

Some of the most valuable work still lives inside a browser: booking a class, pulling a figure off a dashboard, filling in a portal form, gathering research across a dozen tabs. These are exactly the...

If you are shipping AI agents beyond a demo, you have felt the pain: every agent needs the same tools, each with its own authentication, and the tool list keeps growing until your prompt is bloated a...

The Model Context Protocol (MCP) is becoming a richer foundation for agent experiences. Though most servers return plain text from their tool calls, MCP servers can also return binary results and pro...

Building AI Agents from Zero to Production Most agent demos stop at "it answered my question." Production doesn't. The gap between a notebook that calls an LLM and a governed, observable, multi-age...

What is Multi-Model Chaos, and what cost and security challenges does it pose?  Multi-model chaos describes the sprawl that emerges when an organization rapidly adopts many large language and found...

The one shift that changes everything For two years, "AI coding" meant autocomplete. A suggestion appears in your editor, you hit tab, you move on. The agent only existed while you were actively ty...

GitHub Copilot has become a core part of the modern developer workflow. We use it to complete code, explain unfamiliar repositories, write tests, refactor legacy applications, review pull requests, g...

In AI applications, tokens are now cost — and token economics deserves architectural attention For a long time, AI application design started with model capability: Can the model write code? Can it...

Introduction External collaboration is a common requirement for business applications built on Microsoft Power Platform. Organizations may need to provide controlled access to vendors, partners, co...