SimMedAi's tutor mints structured visual study notes — comparison tables, decision trees, concept maps, mnemonics, hand-drawn-style diagrams and more — rendered as real DOM rather than images, so every claim carries a clickable evidence chip, terms can be blurred for active recall, notes decay on a spaced schedule, and the whole thing prints.
Updated August 2026
An AI that returns a picture of a study note has produced something you cannot search, cannot cite, cannot blur for active recall, cannot restyle for dark mode, and cannot print cleanly. Notes here are structured documents: every block is addressable, so the study features are possible at all.
The model may only cite server-built evidence ids — it cannot invent a citation — and it may only mark text that occurs verbatim in the block it is annotating. Between those two rules, the model has no side channel through which to introduce content that the source material does not support.
Eleven, including comparison tables, decision trees, concept maps, timelines, mnemonics, labelled diagrams and worked examples. The tutor chooses the format that fits the concept rather than defaulting to prose.
Yes. Notes are real HTML documents, so they print to clean paper or PDF with the evidence intact — which is exactly what an image-based note cannot do.
Creating a note emits an activity event that feeds mastery tracking, and repeated note-making on one concept without score movement raises a silent-struggle signal for the instructor.