Agents


OSS AI Summit: Building with LangChain

Most AI demos look impressive in a notebook, but they fall apart the moment they touch real data, real users, or real scale. The companies that will win in 2026 aren’t the ones with the flashiest prototypes, they’re the ones who can reliably design, debug, and deploy agent-powered AI applications. That’s exactly why we created the OSS AI Summit. On December 10th we’re bringing together people from LangChain and Microsoft for a focused, no-fluff 2-hour online event centered on LangChain v1 and the patterns that turn experiments into production systems. What you’ll walk away with Try the code before (or […]


🚀 Leveling Up Your AI Agents: A Story-Driven Guide to MCP Tools, Resources, Prompts, and Logging

AI copilots are getting smarter. They can chat, reason, and even follow complex instructions. But if you want your AI to actually do something useful, like trigger a function, fetch some data, or keep a log of what happened, you need more than just prompts. You need structure and you need context. You need something like the Model Context Protocol (MCP). In this post, I’ll walk you through MCP’s four core capabilities (tools, resources, prompts, logging) using a fun story about Contextia, an AI copilot assisting Commander Alex on their ship. I put this together because when I first started […]