
In 2026, There Are 4 Ways to Build an AI Agent. Here's How to Choose.
Building an AI agent in 2026 isn't one decision — it's four different paths. Here's how to tell which one fits what you're actually trying to do.
Deep dives on MCP, AI agents, and production patterns.

Building an AI agent in 2026 isn't one decision — it's four different paths. Here's how to tell which one fits what you're actually trying to do.

Most agent content teaches you to build. Goose is a battle-tested open-source AI agent you can install and run today, with 70+ extensions and the full codebase if you ever need to go deeper.

Frameworks are the engines of AI agents, but protocols are the roads they travel. Here are the 5 most important AI agent protocols shaping the ecosystem in 2026.

Protocols tell agents how to connect. Standards tell them what to know. Here are the open formats giving agents consistent context about projects, capabilities, and design systems in 2026.

AI agents fail in ways that infrastructure traces can't explain. Learn why production agents need semantic observability, and how to add it to a LangGraph + Next.js app with Langfuse.

The web was built for browsers. I spent the last few months making Agentailor native to AI agents too — here is what I built, why I built it, and what you can steal for your own project.