Decide what it does once.
Describe what your software should do, in your own words. Agree the rules in a conversation. Everything built after that has to keep those rules true. You never write a test and you never read the code.
why it keeps breaking
Nobody wrote down what it was supposed to do.
You described a feature once, in a chat, and then it scrolled away. Nothing kept a record of what you asked for. So when you add the next feature, nothing is checking that the last one still works — and the first time you find out it doesn't is when a customer tells you.
This is the same failure as a project that looks like every other project, pointed at a different target. There, nobody decided how it should look, so the model used the average. Here, nobody decided what it should do, so every change is a guess about what you meant three weeks ago.
The longer version, with what actually goes wrong in production, is in why AI-built apps break in production .
how it works
A conversation, then rules that outlive it.
You write one sentence about what you want. Everything after that comes out of talking it through. No document to maintain, and nothing to keep in sync by hand.
One sentence, your words.
"I want to group my work into projects and release them when I'm ready." That is the whole input. No diagrams, no tickets, nothing technical.
The rules fall out.
The conversation turns that sentence into the rules that actually govern it, and an example of each — including the ones where things go wrong. Questions nobody can answer get raised, not guessed.
Every rule becomes a check.
Each example turns into something that runs. Change anything, and every rule you ever agreed to is checked again before the change is allowed to stand.
two checks, two jobs
A supervisor on site, and an inspector at the end.
If you were putting up a building you would not choose between the two, and you would not confuse them either.
The supervisor.
Every rule you agreed to runs again, on every change, holding the work up against what was decided. Something stops being true and you hear about it that hour, not that quarter.
The inspector.
Before a piece of work is called done, an agent opens the application and uses it the way you would — clicking through the real thing, not reading the code that built it.
what it does not do
It cannot decide whether the idea was right.
It will hold your software to what you said. It will not tell you that what you said was a bad idea, that customers wanted something else, or that the feature was not worth building. Deciding whether it is good enough stays yours.
It also cannot check a rule nobody agreed to. If a case never comes up in the conversation, nothing is watching it — which is the honest reason the conversation is worth an afternoon.
how it fits
The other half of the same decision.
Two questions get asked about AI-built software more than any others. Why does it look like everything else, and why does it keep breaking. They have the same answer: nobody decided, so the machine decided.
questions
Questions we get.
Do I have to write any of this in code?
No. You describe what the software should do in ordinary sentences, and you agree the rules in a conversation. Turning those into something that runs is the machine's job, not yours.
What actually stops the AI changing something I did not ask it to?
Every rule you agreed becomes a check that runs on every change. If a change breaks one of them, it shows up immediately rather than three weeks later when a customer finds it.
How is this different from the tests a developer would write?
Tests are written after the fact, by whoever wrote the code, in the language of the code. These are written before it, in your words, from the conversation about what the software should do. You can read every one of them without knowing anything technical.
What happens when I change my mind about a rule?
You change the rule, and the check changes with it. Deciding once does not mean deciding forever — it means nothing gets to change quietly, without you.
Does this slow me down?
It moves the work earlier. The conversation takes an afternoon; finding out in production that a feature you shipped last month stopped working takes considerably longer.
Decide what it does once.
Free to build with. Bring the software you already started.