label seeds with the stage 0 grammars and gemma, and measure both (V-546)

The plan calls the labeled set the whole project and names the stage 0
grammars as the label functions. cmd/labelgen runs them, the real ones in
buildRouter order, so a rule change moves the training data with it.

Gemma labels the rest at 334ms/call with nothing unparsed, which matches the
plan's estimate. It agrees with the seed files on 197/277, and reading the
disagreements is the finding: the seeds and the router prompt hold different
definitions of system, of a world question and of a bare verb. V-626.

docs/evals/2026-08-06-seed-labels-vs-router-prompt.md

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+# Gemma as a label function, and what it found in the seeds
+
+**06-08-2026. V-546.** Measured on workpc against gemma-4-12b-it-qat-UD-Q4_K_XL.
+
+`docs/plans/18-routing-heads-on-e5-small.md` puts the labeled set at 20k examples through
+gemma, costing 2 to 4 hours of the card. This is the check before spending that. Gemma
+labels the 344 hand-written classifier seeds. Agreement with the label a person already
+chose is a precision number rather than a guess.
+
+## What ran
+
+`cmd/labelgen` runs the stage 0 grammars. The real ones, in `buildRouter` order, minus
+`wakeword-act`, whose allowlist is a deployment's enabled tool names. It labels 62 of 339
+seed lines and leaves the rest.
+
+The remaining 277 went to gemma through the daemon's own `routeSystem` prompt and
+`routeGrammar`, both extracted from `internal/router/llmrouter.go` at run time rather than
+retyped. Temperature 0.
+
+## Cost
+
+**334ms per call, 0 unparsed of 277.** The GBNF held every time. At that rate the plan's
+20k examples is under two hours of card, which matches its estimate.
+
+## The stage 0 rules as label functions
+
+Agreement between the grammar's label and the seed file the line came from:
+
+| seed intent | agree |
+|---|---|
+| reminder | 37/37 |
+| query | 9/10 |
+| system | 7/8 |
+| act | 2/2 |
+| chat | 0/4 |
+| note | 0/1 |
+
+`ReminderGrammar` at 37/37 is the evidence the plan wanted. The chat column is a defect
+rather than a disagreement: `chatNarrativeTopics` is Russian-only, so `tell me about
+yourself` survives the decline and routes IntentQuery with topic `yourself`. Filed as
+V-625, which also records that `как дела у сервера` appears verbatim in two seed files
+under two intents.
+
+## Gemma against the seeds
+
+**197/277, 71.1%.** By intent:
+
+| seed intent | agree |
+|---|---|
+| note | 33/33 |
+| act | 57/64 |
+| fact | 37/40 |
+| query | 51/54 |
+| chat | 15/35 |
+| system | 4/43 |
+| reminder | 0/8 |
+
+The number is not gemma's error rate. Reading the 80 disagreements, most are the seed files
+and the prompt holding different definitions of the same intent. Three boundaries carry 42
+of them, and V-626 is the fix:
+
+- **system, 26 lines.** The prompt restricts system to the clock, the calendar date and the
+  assistant itself. The seeds also put sensor and host state there. That is the V-374 edit
+  of 31-07-2026, which the seeds never received.
+- **world questions, 8 lines.** `почему небо голубое`, `why is the sky blue`. Written when
+  chat was the only honest destination for a question nothing could answer, and external
+  search now answers them.
+- **bare verbs, 8 lines.** `поставь напоминание` with nothing to remind about. The prompt
+  calls that unknown. This one is not staleness. A nearest-neighbour centroid wants the
+  bare verb phrase, and that is what a seed file is for.
+
+Four intents have not been redefined since the seeds were written: note, fact, query and
+act. They agree at 178 of 191.
+
+## What this says about the plan
+
+Gemma is usable as a label function on those four and not on system, chat or a bare verb.
+The plan already budgets a day of the owner reading the set. This says where to spend it.
+
+It also says the two engines in the cascade are being taught different rules on 80 lines.
+A routing measurement that swaps between the classifier and the router is measuring some of
+that disagreement rather than the models.