claude
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turnIsAbout scored t.vec, and t.vec was set in one place: queryEmbed, the source at actions_query.go:125. Every topic source sits above it — attention, list, feeds, home, network, weather. So best was handed an empty slice on every deployed turn, returned ok=false, and all six recognisers ran on their keyword floors. The seeds have decided nothing outside the tests since the mechanism landed. TestONNXTopics passes because it embeds each utterance itself and calls best directly. That is the shape that hid this for a month: it measures the scorer and never the wiring. Found on the box instead — "что мне нужно купить" was answered from an old note about a monitor, and the seeds place it as the list by 0.0841. turnVector computes the vector on first ask and caches it on the turn; queryEmbed returns early when it is already set. Chosen over moving the embed source up the list, because the cost is then paid only by turns that ask a topic source, and the order of querySources keeps meaning what its comments argue for. One scenario assertion moved, and it is a behaviour change rather than a bent test. morning_missed step 5 pinned "не знаю" for "что я пропустил?" with an unresolved Praxis item on the board. isAttentionQuery does not match that phrasing and the topicAttend seeds carry "что важное я пропустил" almost verbatim, so she reads the item back now. Reading a surfaced item aloud is not inventing a morning summary, so the floor that step exists for still holds; what moved is which source answers.