You correct the same thing on Monday. On Tuesday it is back.
A new person on your team remembers Tuesday's correction on Wednesday. AI does not, unless you put it somewhere it will read again. Without that you pay the training cost over and over and never collect on it.
Thirty five minutes, and you will have four loops running, each one catching a correction before it evaporates.
For anyone who already uses AI most days and is tired of teaching it the same lesson.
The proof behind this
Liz Elliott built four software products with AI help: PRISM, AutoViral, UPRISE Social Studio, and Profounder. She is not an engineer and never studied computer science. The setup got good because the corrections got written down.
What this lesson is
Lesson 5.8 of the free AI for Entrepreneurs course, in Module 5: Memory And Context.
Most people get almost nothing out of AI, and the model is rarely the reason. The gap is training. Nobody expects a new hire to guess your goals, your customers, your voice, and how you want work delivered, and AI needs the same teaching plus one extra step a person does not need, because it forgets unless you write it down somewhere it will read again. That is the whole subject here. Four loops. Onboarding, where you interview it into your business once. Reflection, where it looks back at the end of a session and updates its own instructions. Review, where prompts you rely on critique themselves every run, so you get a stream of small suggestions instead of nothing. And the strongest one, which almost nobody builds. Your final edit is the answer key. When you fix an AI draft before you send it, that fix is proof from outside the model, and that beats asking a model to grade its own taste when its taste is the thing that was wrong.
New here? Use the free AI for Entrepreneurs course outline to read this series in the best order.
What you will be able to do
Interview your AI into your business before you ask it for work
Give the training a home so it survives when you close the chat
Add a review block that turns every run into a tiny audit
Schedule a weekly report on what to fix in your setup
Turn your own edits into rules the AI follows next time
Your first step
Start with the interview. Before you ask AI for any real work on your business, spend one session teaching it what a new hire would need on day one: what you sell, who buys it, how you sound, and how you want work handed back. Do that once and the quality of everything after it moves. The other three loops are about making that teaching survive the tab closing.
Behind the paywall
The interview that onboards AI into your business
The reflection prompt for the end of every real work session
The review block, and how to call it by name once it is a skill
The weekly setup review you can schedule and forget
The draft to final engine, the strongest loop of the four, plus the prune pass
The twelve mistakes, including the one that makes the whole rule list useless, and the checklist
What paid subscribers get overall
Paid subscribers get every part of AI for Entrepreneurs in full. Every numbered step, every prompt in a block you can copy, the mistakes list, and the checklist at the end. You also get the rest of the run as it goes out, and the whole paid archive on Liz on the Web.
Subscribing opens the locked half of this post right away. You do not wait for the next one. The rest of this lesson opens the moment you click.
The free half above is the concept, and it stands on its own. The locked half is the work.
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