A teacher standing at a whiteboard, pointing at a hand-drawn diagram of boxes joined by arrows, in front of a seated group.

An open method for teachers

Skill trees your students can actually see.

A teacher-written map of a subject, plus instructions that turn any AI chat into a practice partner — one that holds back what it could give away.

What this is

The graph is the interface, not the engine.

Prerequisite graphs are not new — adaptive systems have computed them for decades. What they do not do is show them. Here the graph is the interface: the student sees the whole structure of a subject, chooses where to start, and can tell what any one skill rests on.

Nothing here calls a language model. The tool composes a teacher-written instruction that you paste into whichever AI chat you already use. No vendor lock-in, no cost per student, no data processing agreement — and every instruction is written to make the model hold something back, so the student still does the thinking.