Gendering AI — four passes
Put a real system in front of you and ask who was counted, who was harmed, who decided and who pays. Works fully offline once opened.
Online · syncing
I build learning, records and commerce systems for contexts where a stable connection is the exception. That constraint changes the design: the work has to live on the device, resume without a signal, and only reach the server when the person decides it should.
Every open journey below is free to use, needs no account, and holds your answers locally rather than on a server.
Each one is a working session, not an article. You leave with something written down.
Put a real system in front of you and ask who was counted, who was harmed, who decided and who pays. Works fully offline once opened.
Collect notes in a place with no signal; the record stays on the handset and files itself when you are back. Launching next.
Early recon on what to build, what to buy and who can mentor you — the same journey engine, pointed at a different question. Launching next.
A dropped connection is an inconvenience for someone on fibre. For a researcher in the field or a parent building a business between other work, it is the difference between finishing and not finishing. Designing for the drop is not a fallback feature — it is the test of whether the work was ever really possible on the user’s terms.
These journeys run on the ALROTEC infrastructure blocks — identity, records, learning, commerce, protection.