Title here
Summary here
Module · 5 lessons
Why One Prompt Isn't Enough
See that real AI work is a loop — attempt, check, correct, stop — and that you've been running loops by hand all along. Meet the four tools you'll use.
At a glance
Level
Beginner
Lessons
5 lessons
Time to complete
1 week
Cost
Free forever · no sign-up
Welcome to Loop Engineering. This first module has one job: to change how you see the work you already do with AI. You’ve almost certainly asked ChatGPT or Claude for something, gotten back an answer that was almost right, nudged it a couple of times, and then either settled or gave up. That back-and-forth wasn’t a failure of prompting. It was a loop — a cycle of attempt, check, correct, and stop — and you were running it by hand, without a method.
In this module you’ll learn to name that cycle and see its parts. You’ll move from thinking about a single answer to thinking about an outcome you actually want. You’ll break a loop into its four beats — goal, attempt, check, correct — plus the fifth thing beginners always forget: stop. You’ll get honest about when a loop is worth the effort and when it just burns time and money on a one-shot task. And you’ll meet the four tools you’ll use all course: ChatGPT, Claude, Claude Code, and Codex.
Nothing here requires code. The whole point of loop engineering is that the important parts — the goal, the check, the stopping rule — are things you write in plain language. Start with Lesson 1, where we separate asking from achieving.
Lessons in this module
1
From Answer to Outcome
See the difference between asking an AI for an answer and getting it to achieve an outcome — the shift that every loop is built on.
2
Anatomy of a Loop
Break a loop into its five parts — goal, attempt, check, correct, stop — and see why the check is the hinge everything turns on.
3
You Are Already the Loop
You've been running loops by hand all along. See the manual loop clearly, then find the four places doing it by hand quietly breaks down.
4
When a Loop Helps
Loops aren't free. Learn the judgment call for when a loop is worth its cost and when a single pass or a fixed recipe is the smarter choice.
5
Meeting Your Four Tools
Meet the four tools you'll run loops in — two chat AIs and two file agents — what each is best at, and why the file agents aren't just for developers.
Achievement
Complete all 5 lessons to finish the Why One Prompt Isn't Enough module.
