Your context is the work

Working with AI has one hard problem underneath all the others: the model forgets. Every new chat starts cold. What makes it useful on your project is the context you bring to it, what you are building, what you have already decided, what you have ruled out. Managing that context is not a side task. It is the work.

vibe2value does not do this for you, on purpose. Your context has to work the way you work. A tool that holds it for you can only ever hold its version, not yours. So instead we show you how to keep your own and how to feed it to the AI when you need it.

Where to keep it

Anywhere you will actually look after it. The format matters less than the habit.

• A text file in your project. The simplest thing. One running file, or one per decision.
• A Google doc, if that is where you think.
• A note, a wiki page, whatever you already use.

The rule is only this: it lives somewhere you own and you keep it current.

How the framework fills it

This is where shape+build+launch pays off twice. Every time you sharpen a decision, who the user is, the one outcome, what you are leaving out, you are not just deciding. You are writing the context. Save each sharp decision as you reach it and your context builds itself, one decision at a time. By the time you are building, the AI can read exactly what you meant.

Keep the signal, not the noise

Most of what an AI gives back is not worth keeping. A long answer is mostly working-out: the options it weighed, the caveats, the code it tried. Save all of it and your context turns to mush. The next AI just drowns in it.

So after each useful exchange, pull out the few lines that will still matter next week and drop the rest. Keep the decision you landed on, the reason it won, the thing you ruled out and any constraint or fact you will not want to rediscover. Leave behind the reasoning, the false starts and the pleasantries.

A simple test: would you need this to pick up where you left off tomorrow? If yes, keep it, in your own words. If no, let it go. Your context should read like a set of decisions, not a transcript.

Structure it like an llms.txt

If you want the AI to use your context well, structure it the way AI tools already read the web: like an llms.txt. A short summary at the top, what the project is and who it is for, in a few lines, then the detail below in clear sections with headings.

Two files beats one:

• A summary. The project in a page. What it is, who it is for, the decisions that are settled.
• The full detail. Everything, section by section.

An AI given the summary learns the shape fast and reaches for the detail only when it needs it. A Google doc works the same way if you head it and section it like this. This site does exactly that at vibe2value.com/llms.txt.

If you use GitHub

Keep your project in a repo and put the context in the repo, right next to the code. Add two files any AI can read:

• llms.txt: the summary, the project in a page.
• llms-full.txt: the full detail.

Now any AI you point at the repo starts with the whole picture. And when you use Guide me, paste that summary into the context box so the guidance is shaped by your actual project, not a blank slate.

Why we don't do it for you

Because this is the work and it has to work the way you do. The moment a tool holds your context for you, it starts thinking for you and the judgment quietly leaves your hands. Keeping your own context is how you stay the one who decides. That is the whole point.

Ready to use it? Take it to Guide me and paste it into the context box.