About
About Sleeves Up
We make courses and books about the part nobody films: what an AI tool does once you point it at work that already exists, with its own mess and its own deadline.
A demo is chosen to make the tool look good. Your job was not. The test we care about is whether you can open your own laptop on Monday and run the method on the thing actually in front of you.
So every lesson is built around a real job with real constraints and a real deadline. Sometimes that job is a codebase nobody wants to touch. Sometimes it is something built from nothing against a date. Either way the work is genuine, and you see every step as it ran.
The people
A small studio
The people making the courses are the people doing the work. Fifteen years of it, and not all in one seat: writing code to start with, then a decade running an IT services agency through more than three hundred client projects, then building and leading the support and operations teams behind software that thousands of businesses run on.
Which means the work here is not only judged as code. It is judged the way anything is judged when a team depends on it: does it hold under a deadline, can somebody else follow it, and does it still work on the bad week. Putting AI into real workflows and finding out where it actually holds has been the day job for a while now.
That is the only qualification that counts here. Not a certification, and not a following.
What should decide whether you buy is whether the method holds up on your own work, not whose name is on the cover. Everything we teach is checkable: the codebase in the course is public and named, the fork is pinned to the version on screen, and every example in the book was run before it was written down.
If you want to ask something, the contact page reaches a person.