Academic content reading
BoardSnap AI reads mathematical proofs (with annotations), theoretical frameworks, argument structures, and literature mapping diagrams. It produces structured written descriptions of the academic content — organized by the structure you drew on the board.
Projects per course or research area
One project for each course you're TAing, one for your dissertation research. Board history is organized per project — recitation sections don't mix with your research advisor meeting notes.
Pinned context
Pin your dissertation proposal, your qual reading list, or the course syllabus. Every board session already knows the academic context — the AI chat gives answers that are grounded in your specific work, not generic academic advice.
Offline queue
Library study rooms, lab spaces, and department seminar rooms have inconsistent WiFi. BoardSnap queues on-device and processes when signal returns — the board from a basement study room gets documented when you're back on network.
Auto-generated subtasks
Research action items from advisor meetings break into concrete dissertation tasks — revise the methodology section, add the cited comparison, run the additional analysis. The grad student to-do list builds from the advisor meeting board.