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Session priors (P(bucket) + P(type)) + inline eval UI
- Replace single-bucket hard filter with two parallel Bayesian priors: P(bucket) over family/medical/hobbies/daily_routine/social, P(type) over narrative/social_post/chat_log. Axis-generic core in priors.py; bucket_priors.py is gone. - retrieve() soft-weights candidates by 0.3·log P(bucket) + 0.2·log P(type) before MMR. Uniform priors are a ranking no-op. - Priors update from all retrieved personal chunks (not top-1) with 15% per-turn decay toward uniform, so distributions track the current topic instead of whole-session history. Guardrail-blocked turns skip updates. Gaze still hard-filters. - Move eval scoring from BackgroundTasks to synchronous on the /chat response path; eval_scores returned inline so the UI renders grounded/affect/gesture/gaze pills on every AAC bubble. - Small: favicon SVG beside the sidebar title. README updates + docs/images/eval-pills.png screenshot.690c106
