The Autonomous AI Framework

Samuel Ochoa at work

This is a working handbook for building AI that runs on its own. No theory without a use. No fluff. Every page is here because, at some point, I wished somebody had explained this thing to me like a human instead of a spec.

The material is organized in eight sections, stacked in the order you'd naturally learn them. If you're brand new, read the first few Foundations pages in order. They build on each other, and by the time you finish, everything else in the framework will make sense without a glossary in your other hand.

If you already know the basics, skip to the section you care about. The detail pages are self-contained: each one is written so you can drop in cold, read it, and walk away understanding the concept. No prerequisites beyond what's covered in Foundations.

A quick map:

The whole framework is free, evergreen, and will keep being updated as the field moves. If you notice something wrong or unclear, tell me; I'll fix it.

If you're brand new, start here.

Foundations

Claude (the model layer)

MCP. Model Context Protocol

Plugins

Claude Code, the harness

Agent patterns

Going autonomous

Build guides

Tools

Further reading

Watch

Andrej Karpathy - Intro to Large Language Models (1 hour)