0numbers in evaluated drafts that weren't in the transcript, across every scripted test consultdocs/eval/M1.md (4 consults, every prompt revision); docs/eval/M2.md (9 specialty consults, 3 GP templates, 3 client documents)
91%of facts captured in SOAP notes (40 of 44) at the end of M1, with the optional second recogniser installed, up from 75%docs/eval/M1.md table, Gemma 4 E4B on synthetic consults
91%of facts captured across 9 specialty consults (89 of 98) in the latest measured builddocs/eval/heading-order.md (current build, Gemma 4 E4B)
13.1 sfrom pressing stop to a saved note, on a 9.6-minute consultdocs/perf/M0.md 'Live recording' (RTX 4080, real-time playback, 30 s target)
20built-in templates: 16 for the record and 4 for ownerspackages/templates/ (20 folders)
25consult languages recognised, with notes in 7 and the app in 5docs/languages.md; engine/os-engine/src/note.rs NOTE_LANGUAGES; apps/desktop/src/i18n.ts UI_LANGUAGES
43 sto import an 8.5-minute recording with the NVIDIA speech pack, against 152 s on the processordocs/adr/0014-gpu-speech-recognition.md (RTX 4080)
5network connections the app can make, each started by the userdocs/network.md (R1 to R5)