Here’s the moment Notavi exists for.
You’re the person who knows how something works. Maybe it’s restoring a backup, onboarding a new hire’s accounts, running the month-end close, or resetting a stubborn piece of hardware. The task itself takes twenty minutes. You could do it in your sleep.
Then someone asks you to write it down.
And that’s where it dies. Because writing it up properly — screenshots, numbered steps, the little “wait, don’t skip this part” notes — takes the rest of your afternoon. So it goes on the list. And the list is long. And the procedure stays exactly where it’s always been: in your head, coming out one interruption at a time, forever.
We kept running into this, and it always looked the same. It’s not that people don’t want to document their work. It’s that the cost of documenting is wildly out of proportion to the task. Nobody’s going to spend two hours writing up a twenty-minute job, not when there are ten more things waiting. So the best knowledge in a business — the stuff that actually keeps it running — never gets captured. It just walks around inside a few people, and walks out the door the day they do.
What we wanted to build
The goal was almost embarrassingly simple: make documenting a procedure cost about as much effort as doing it.
So Notavi watches you do the thing once. You run through the task the way you always would, grabbing each step as you go, and it turns the whole run into a clean, numbered guide with screenshots — the kind of write-up that looks like someone spent an afternoon on it, except you didn’t. If you’d rather write it yourself, you can; the guide is yours to edit either way. The point isn’t the AI. The point is that the twenty-minute task finally produces a twenty-minute document instead of a two-hour chore you’ll never start.
And because real procedures change — a portal gets a new button, a step gets added — every guide keeps its own history in plain language. When something changes, you make a new version, and Notavi writes down what changed, when, and who changed it. So the document in front of a new hire is the current one, not a lie from eight months ago that quietly stopped being true.
The two things we cared about most
Two values shaped basically every decision.
The first: build something people genuinely want to use. Not something that demos well and then sits unopened. That sounds obvious, but it’s a real constraint — it’s why the free version is a genuinely useful tool and not a nagging trial, why the app works the way you already work instead of asking you to change your habits, and why we’d rather cut a feature than ship one that gets in your way.
The second: your knowledge should stay yours. The procedures that are worth documenting are often the ones you can’t hand to a random vendor’s cloud — how you handle sensitive systems, regulated workflows, the stuff your own security policy has opinions about. So Notavi keeps your library in storage you already own — a folder on your machine, or whatever cloud you already use — not on our servers. If you turn on the AI write-up, the steps you captured are sent to the model to generate the guide and then discarded, never used to train anything. But the library itself stays with you. We think that’s the only honest way to build a tool for the people who need it most. More on exactly how that works in a companion post.
That’s the whole reason we built this. Not to add another app to your stack, but to make the thing you keep meaning to do — capture what you know before it walks off — take minutes instead of afternoons.
If any of that sounds like a problem you have, give it a try. Building your own library is free, and we’d genuinely love to know what you think.