Prompt engineering got you to output. Loop engineering gets you to outcome — while you sleep. You’ve felt it. You prompt the same AI 15 times to get one usable result. You babysit ChatGPT tabs. You Frankenstein n8n workflows that stall at 2 AM. You know AI agents are the next layer — you just don’t know how to build one that survives an overnight run without hallucinating, looping forever, or torching your API bill.
This course teaches Loop Engineering — the discipline of designing autonomous AI loops that verify their own work, retry intelligently, and stop safely. By lecture 3, you’re already running a real autonomous loop on your screen. By the end of the course, you’ve shipped a loop that runs 60+ minutes unsupervised and produces output you can trust to send to a customer.
What you’ll build:
- Your first working /loop in 15 minutes (Claude Code + n8n, copy-paste setup)
- A production-shape customer-support-reply loop with all 5 anatomy parts wired live
- 5 steal-and-adapt patterns: content repurpose, code review, data extraction, PR monitoring, research
- A capstone loop deployed to run overnight — handed off to a non-technical peer
