The pitch for local-first AI is simple: your documents never leave your hardware. It’s a true claim, and it’s also an incomplete one, because it quietly assumes the hardware itself is secure. Nobody had actually tested that assumption on the machine doing the work — a Mac Mini M4 Pro that runs local inference for a client-facing document-processing deployment, all day, every day. This is what happened when we did. ...
Documentation lies. Not through malice — through drift. A feature ships. The build log gets a session note. The BRIEF does not. Six commits later, the architecture section still describes what was planned in March. The compliance pack shows a draft DPA when the final template has been sitting in compliance/ for two weeks. Nobody updated the corpus count after the witnessing pipeline landed twelve new listings. The code is ahead of the docs by a widening margin, and the gap compounds silently because nobody reads the whole project often enough to notice. ...