Four steps between a file on your desktop and a knowledge graph you can walk through. None of them require you to organize anything.
A 400-page PDF, a wall of lecture notes, a half-finished draft. The parser strips layout, resolves citations, and hands the raw claims to the extractor. No tagging. No folders. No setup screen.
The model reads for structure, not summary. It pulls out atomic claims — one assertion each — and records where the claim came from, down to the page and paragraph. Nothing is invented; everything traces back.
Each node carries an embedding. Related concepts pull toward each other in real 3D space; unrelated ones drift apart. The clusters that emerge weren't designed by you — they were already latent in the material.
The graph knows which nodes you've never traversed and which edges you've never followed. Those become the questions. Spaced repetition, but the schedule comes from topology instead of a guess.
You never file anything. You never name a folder. You just read, and the graph keeps up.
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