docs: session 1 and 2 results, and the classifier baseline was wrong (V-459)
Ran sessions 1 and 2 on the live box. Session 1 steps 1 and 3-6 pass. Steps 2 and 7-9 need a person at the box. POST /api/chat is drivable with form encoding and a cookie jar, so the text half needs no browser. Session 2 confirms the deploy matches the bench at 72.7% full accuracy, and contradicts two recorded numbers. The classifier scores 68.8% at p50 16.6us, not 36.8% at 31ms. Router latency measured under contention again. Also: 319 item 2 point 2 closes on the recall margin sweep, CheckFeminine has a false positive on second-person masculine verbs, and the wake path cannot be checked because mavwaked and mavenclient are deployed nowhere.
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# QA plan: checking Maven properly
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*Last verified: 2026-08-02 @ 5c05163. Living doc: correct it in place, do not append.*
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*Last verified: 2026-08-02 @ af9d213. Living doc: correct it in place, do not append.*
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Written 2026-08-01, after the 35-PR stack landed and the box came back up.
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Refreshed 2026-08-02 against the live list, after PRs #85-#90.
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@@ -43,19 +43,37 @@ it works. Do this first.
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Closes or advances: **44** (conversation), **45** (text chat), **287** (voice
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session quality), **321** steps 3-5 (quiet mode), **288** (STT fixtures).
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Steps 1 and 3-6 were run on 02-08-2026 and pass. Steps 2 and 7-9 still need a
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person at the box, because they need a microphone or a nudge to arrive.
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Steps 1 and 3-6 do not need a browser. `POST /api/chat` takes a form-encoded
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`text=` field and a cookie jar, and answers with the rendered `/chat` page:
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```sh
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curl -s --noproxy '*' -c jar -b jar -L -X POST \
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http://127.0.0.1:9201/api/chat --data-urlencode 'text=привет'
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```
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Parse the whole page, not the last text node. The page carries nav and footer
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text. A naive tail of the Cyrillic nodes returns the wrong string, which makes
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turns look misaligned when they are not.
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1. Open `http://127.0.0.1:9201/chat` and hold a short conversation in Russian.
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Watch for three things: she answers in feminine forms (`рада`, `поняла`), she
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says `ты` and never `вы`, and no pet names appear.
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**Passes** (02-08-2026, five turns): `я рада`, `поняла`, `помогла`,
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`проверила`, `записала`, `грустна`, `ты` throughout, no pet names.
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2. Press push-to-talk on `/dash`. Say `привет`. Confirm a spoken reply comes
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back. This is the only check that covers mic to STT to core to TTS to
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speaker as one path. It is also the path the eleven-day outage most likely
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broke.
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3. Say `тихий режим`. Expect `тихий режим включён. буду реже напоминать.`
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4. Say `выключи тихий режим`. Expect `тихий режим выключен.` Negation must win.
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3. Say `тихий режим`. Expect `тихий режим включён. буду реже напоминать.` **Passes.**
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4. Say `выключи тихий режим`. Expect `тихий режим выключен.` Negation must win. **Passes.**
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5. Say `в комнате тихо`. Quiet mode must NOT flip. Confirm on `/history` that no
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`quiet_hours` fact was written.
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`quiet_hours` fact was written. **Passes**: no row written. She answers `пока
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не умею отвечать на этот вопрос.`, so it lands on `IntentSystem` with no arm.
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6. Say `включи режим тишины`, then `сделай потише`. Both must flip quiet mode
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on. These are the noun form and the comparative, added 01-08-2026.
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on. These are the noun form and the comparative, added 01-08-2026. **Both pass.**
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7. Wait for a nudge, then say `потом` within twenty minutes. Expect `хорошо,
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вернусь к этому позже.` and the nudge row on `/notifications` reading
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`snoozed`. Say `потом` again with nothing pending: it must route as an
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@@ -66,6 +84,15 @@ session quality), **321** steps 3-5 (quiet mode), **288** (STT fixtures).
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`готово`. Expect `отлично, отметила.` and the same outcome.
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9. Note anything where she is slow, cuts off, or talks over herself. That is
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287's whole content and it has no written acceptance criteria yet.
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**First evidence, in text** (02-08-2026): nothing breaks, but answers wander
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and stitch unrelated topics. Asked whether he should move flats, she opened
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with the weather. That is 287, and it is a phrasing problem, not a loop problem.
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**The wake path cannot be checked as deployed.** `mavwaked` and `mavenclient`
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appear in no compose file and run as no host process. Step 2 covers only
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push-to-talk, from `/dash` through mavsttd and mavttsd. Wake word and VAD
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are untested by construction. Decide whether they belong in compose or on a
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client machine, and say which in the deploy docs.
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**319's single-token bug is fixed** (01-08-2026). Single-word Russian utterances no longer come
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back as `не совсем поняла — можешь переформулировать?`. `привет` and `поужинал`
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@@ -104,13 +131,43 @@ make eval-recall
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A large miss against 72.7% means the deploy differs from the bench harness.
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**Run on 02-08-2026 @ af9d213. The deploy matches the bench.** `eval-models`
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scored 56 of 77: 72.7% full, 77.9% intent-only, 2 false clarifies and 1 missed.
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That is the recorded figure to the decimal, and calendar sat at 2 of 2, so the
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stage 0 agenda rules hold. `eval-phrasing` scored 21 of 27 on the talk fixture
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against a recorded 20, and the 15 nudge templates passed every check.
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Two numbers in this repo were wrong, and both flattered the resident model.
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- **The classifier is not 36.8% and not 31ms.** `make eval-router` reports
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`classifier+onnx: 53/77 (68.8% full)` at p50 16.6µs. The figure repeated here
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and in `CLAUDE.md` predates the stage 0 rules and the seed additions. Both now
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score inside that baseline. The accuracy gap the router buys is
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roughly 4 points, not 36. Re-argue the trade on the real numbers.
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- **Router latency was measured under contention again.** p50 1.126s, p95 1.58s,
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max 3.24s, against a recorded p50 825ms. The resident model was serving the
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daemon on the same iGPU throughout. Do not record this as a regression, and do
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not record it as a measurement either. Stop the stack before timing the router.
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`classifier+hash` scores 19.5%, which is the no-ONNX degraded path and is not the
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failure floor the deploy uses. Do not quote it as the classifier baseline.
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Then three things to decide while the numbers are in front of you:
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- **319's gate recalibration is done.** 359 gave the LLM path a real confidence
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signal. `thinSingleToken` was narrowed on 01-08-2026, and agenda questions moved
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to stage 0. Missed clarify sits at 1 of 6 and false clarifies at 2. What is left
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on 319 is item 2 point 2: re-derive `QueryMinMargin`, or show the distribution
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the hand-picked `0.008` came from.
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- **319 is done.** 359 gave the LLM path a real confidence signal.
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`thinSingleToken` was narrowed on 01-08-2026, and agenda questions moved to
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stage 0. Missed clarify sits at 1 of 6 and false clarifies at 2. Item 2 point 2
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closed on 02-08-2026: the `make eval-recall` margin sweep is the distribution
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that was asked for, and `0.008` sits at the knee.
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| delta | answered | false recall |
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|---|---|---|
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| 0.005 | 18/27 | 2/5 |
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| **0.008** | **18/27** | **1/5** |
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| 0.010 | 16/27 | 1/5 |
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It removes four of five false recalls at no cost in answers, and the next step
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costs two answers for nothing. The hand-picked value survives on evidence.
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- **278's real ask** is making the eval lab routine rather than building it. It
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is built. Decide whether it runs on a timer, on every merge, or on demand, and
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the task can close.
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@@ -124,6 +181,18 @@ needs a `StartupTimeout` field on `Config` rather than a test-only hack. While y
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are on the box, time a cold 1.7B load off spinning disk. If it runs near 60s, the
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default is too tight and the field earns itself twice.
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Warm, it is nowhere near. A second llama-server answered `/health` 1.8s after
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launch at `n_ctx 4096` on 02-08-2026. That is page cache, so it does not settle
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the question. A cold read needs a cache drop, which needs root.
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**`CheckFeminine` has a false positive.** On 02-08-2026 it failed
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`query-notes-do-not-answer` for `ты заплатил`, calling it masculine
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self-reference. Masculine second person is correct, because the owner is male.
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The check matches a masculine
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past-tense verb before `за` without confirming the subject is `я`. Fix it in
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`internal/phraser/eval/checks.go` before trusting a phrasing score to the case.
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The real talk-fixture score on that run is 22 of 27, not 21.
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Item 4 of **320** needs a permission I do not have. Kill the `llama-server`
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pid under `maven-mavend-1`, post a turn, and confirm it still completes
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through the classifier. Either grant it or run it yourself. It is the only
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@@ -231,8 +300,9 @@ where they land, so the board stops reading as 50 things Maven owes.
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1. Session 1. If the voice loop is broken, nothing else matters.
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2. The `-require-stepup` and Kuma decisions. Five minutes, and it unblocks **16**.
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3. Session 2. The numbers tell you whether the router is worth its ~27× latency.
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The 90× figure that stood here came from a 2.7s p50 that was contention, not
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the model. Real p50 is 825ms against the classifier's 31ms.
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3. Session 2. **Run on 02-08-2026.** The numbers came back worse for the router
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than the docs claimed. The classifier is 68.8%, not 36.8%, and 16.6µs, not
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31ms. The router buys about 4 points of accuracy for four orders of magnitude
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of latency. Whether that still earns its place is now an open question.
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4. Housekeeping. Cheap, and it makes the remaining backlog honest.
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5. Session 3, split whichever way suits you.
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