The first AI that grows with you.
Every other model is frozen the day it ships. Axom learns the work you do, from its own mistakes, on your own machine, and presses what it learns into a skill leaf that belongs to you.
Every model you've used stopped learning the day it shipped. Axom starts learning the day you meet it.
Today's AI is trained once, in a data center, on everyone's data, then frozen. It can remember what you told it for a while. It can't get better at your job. Its mistakes are the same next month as today, and the only fix is a bigger model next year, owned by someone else.
A frozen model
Axom
Never. It knows the average job.
Every day, from the work you do.
Repeated until the next model.
Caught, fixed, trained out.
A data center, on everyone's data.
Your machine. Never uploaded.
The vendor.
You. Keep it, give it, sell it.
Waiting a year.
Doing the work.
Monday it guesses. Next month it knows.
Use Axom as your sysadmin. The model underneath isn't a sysadmin, so at first it slips: a log it misread, a service it didn't filter by, a restart it said it ran. Every slip becomes a lesson, and the lessons become a leaf.
Its mistakes become its training.
After every turn, Axom checks its own work against the record: a command that never ran, a file it said it saved, a report two sections short of what you asked. It shows you its read, quietly, beside the good and bad buttons.
Axom's read: probably wrong. Said it restarted nginx; it never ran. Agree · Actually fine
While you're away, a teacher replays each mistake on a copy of your workspace, knowing exactly what went wrong, until it gets it right. A fix is kept only if it passes the same check that caught the mistake. No check, no lesson.
A mistake · a verified fix · a pile that becomes a leaf
Make a leaf
SysAdmin, Accounting, Security. Create it like a project and turn it on while you do that work.
Mistakes are caught
From evidence, not guesses. One click agrees or overrules, and your why is the best lesson there is.
Fixes are verified
Replayed while you're away, never in your way, never on your real files. Each fix joins the leaf's pile.
The leaf is ready
At 750 verified fixes it's pressed and snaps onto the chassis. Axom now does the job the way you do it.
It never makes a leaf on its own. It asks, rarely.
Working in a field you haven't named? Its fixes are still verified and kept. Once the same work has tripped it up across several sessions and days, Axom asks once, in the "while you were away" line. Never a popup, never more than once a week.
Growing a model for one person was impossible. Three things made it possible.
Teaching a model has always meant armies of human labelers, a reward model, and a data center, for a model shared by millions. Axom needs none of them.
It grades itself honestly
Every mistake is read from the record of what actually happened: the tool that failed, the file that was never written, the section that's missing. No crowd of raters, no guessing. Your one click keeps the checks honest.
It teaches itself
The teacher is Axom, knowing what went wrong and allowed to try again on a copy. Most mistakes are things it can do but didn't. Hindsight, a check, and a few attempts do the work a bigger model would.
It grows without forgetting
What it learns goes into a small leaf on top of an unmodified chassis. The base never changes, so nothing it knew is lost, and a leaf is small enough to press for one person, one job.
Big AI learns from your work and keeps it. Axom gives it back.
A leaf you grew is a file you own: the skill, without your data in it. For the first time, what an AI learns from you belongs to you.
Private
Your edge stays yours, on your machine.
To a friend or a team
A new hire starts with years of know-how on day one.
On the Leaf Store
Expertise you earned by doing the work, priced by you.
For everyone
Every sysadmin who snaps it on starts where you finished.
An AI that fits you, and a community that grows it.
An expert in your job
Not the average sysadmin from the internet. Yours: your servers, your stack, your way of doing it.
Know-how becomes an asset
Ten years of doing a job well can now be pressed into a file other people can use.
Skills that stay
When someone moves on, what they taught Axom stays with the team.
Grown by its users
Every leaf shared makes Axom better at something, for everyone, without a single conversation collected.