About

Every repair teaches someone something. Which hose was rubbing, which setting the manual gets wrong, which part fits even though the number changed. That knowledge is learned at the machine, with dirty hands and the next job waiting. Most of it never gets written down, or it goes into a notebook, a chat, or a work order that says "fixed". The next technician starts over.

Machine QR puts a code on each machine. Scanning it opens what the team knows about that machine: manuals, earlier work, notes and photos from the last visit, and a way to report a problem. Recording takes a photo or a few words, at the machine. Structure comes later, and the original stays with its source.

It is built for two groups that share the same machines and the same problem. Industrial maintenance teams look after equipment in their own plants. Field service teams look after machines at customer sites, often seeing each one once a year. Both need what the last person learned, and both have little time to write it down.

Principles

1. Help the person at the machine. The current job comes first. Everything else is judged by whether it helps someone finish it.
2. Capture first. Take the photo, note, or file as it comes. Add structure later, without losing the original or where it came from.
3. Maintenance and field service weigh the same. They share assets and knowledge. They differ in how work flows, and the product respects both.
4. A few calm screens. Fixed building blocks and strong defaults instead of many settings. Basic tasks need no setup or training.
5. Make frequent work fast. Less waiting, less navigation, and no typing the same thing twice. Reliability is part of the feature.
6. A printed code keeps working. A QR link stays valid when a machine is renamed or moved.
7. AI suggests, with its sources. AI finds, drafts, and suggests. Its sources stay visible, and each operation has clear rules for who decides.