
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.
Code-first guides for developers — the agent loop, MCP, frameworks, and the four ways to build. Working code in every post, no hype.
$ ask agentailor "which way should I build my agent?"
Skip the search. Ask Agentailor anything about building AI agents — frameworks, MCP, coding agents, or which path fits — and get a direct answer, grounded in every post on this site.

Discover the top open-source AI agent evaluation frameworks in 2026. From DeepEval and promptfoo to agentevals and Strands Evals, see which eval tools to use for trajectory checking, CI gating, red-teaming, and scoring agents in production.

Frontier coding agents are capable but non-deterministic. These are the agent skills for agentic engineering and spec-driven development that keep their work durable across sessions.

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.