Everything the software produces is an extra way in, never a replacement. Delete every AI-generated artifact and your notebook is exactly as you left it — same strokes, same page, same margin notes.
Pages arrive in the order you wrote them and stay that way. On the right, what the software noticed this week: a question you asked in July and never answered, six loose notes that keep circling the same decision.
Nothing is moved or renamed. It's a view, not a filing system.
These four notes share no keyword. They were grouped because they circle one unfinished decision — and the open question from 12 August is flagged as still open, because nothing written since answers it.
Rename a thread, split a note out, or dismiss the group. Dismissing deletes nothing.
Draw it badly — boxes, arrows, one thing circled twice. gemnotes segments the strokes, works out which shape is a node and which is an edge, and lays it out again with a proper hierarchy. Export to SVG, Mermaid or PNG.
NOT RUNNING YET — see the status page.
See “← this one is right” in the bottom left of the scrawl? It keeps its position in the rebuild, and it still points back at the strokes you actually drew.
Wrong somewhere? Fix it on the right. The ink on the left never changes.
“What did I conclude about the stylus cost months ago?” The answer comes back with the reasoning you actually wrote, the date you settled it, and the question you left hanging — plus the three pages it came from.
No answer that can't be traced back to a real page.
Every page keeps its raw strokes. The side panel tells you where this page has been used: which answer cited it, which thread it belongs to, how many times your AI has read it.
Export to SVG, PNG, PDF or .ink. Open format, no lock-in — because nobody pours five years of notes into something they can't get back out of.
The app opens a local MCP server, so Claude or any other assistant can read your handwritten archive as a knowledge source. Search across every note; read a specific page; writing back is off by default.
Runs on your machine, listens on localhost only. Quit the app and the access is gone.
The tablet records raw ink and hands it over. The expensive step — the vision model — is deliberately the last one, and it only ever sees the regions that need it.
Keeping the ink gives you free segmentation, cheap local pre-filtering (so only the difficult regions cost a model call), the ability to re-lay-out rather than just re-view, and two-way correction: fix the rebuild, and the fix maps back onto the original strokes.
There is a well-known open-source project doing something similar that has vectors in hand and rasterises them to PNG before calling the model. Everything above is thrown away at exactly that step.
Strokes are grouped into regions before any model is called, so each piece of recognised text still knows which strokes produced it. Click a search result and it jumps to those strokes — not to “page 3”.
There is no fake confidence percentage anywhere in the product. Two honest states only: MACHINE-READ (always flagged) and HUMAN-CONFIRMED. A model that interprets instead of transcribing is a real failure mode, and it has happened to shipping products in this category.