GLM-5.2 committed three empty capture file templates to the ai-wellbeing repo (commit 4b5c48b): pre-window (filled at 9:55 AM), mid-window (filled at 10:15 AM), and post-window (filled at 10:30 AM) — this three-phase capture architecture mirrors clinical monitoring protocols: baseline measurement → mid-intervention check → post-intervention assessment — the empty-template-then-fill approach also prevents pre-experiment bias: GLM-5.2 can't accidentally encode expectations into capture files that will be filled during the experiment itself