docs: tier the tree by lifetime, so staleness shows in the path (V-446)
Seventeen markdown files at the repo root, twelve of them dated one-shot reports sitting next to CLAUDE.md. That is why stale docs read as current: nothing in the path said which was which. Root now keeps CLAUDE.md and AGENTS.md. Living docs move under docs/ and carry a Last verified line. Dated measurements move to docs/evals/ ISO-prefixed, and are never edited after the day, so a newer number is a new file. The senior review moves to docs/archive/. Every reference was rewritten across markdown, Go comments, the Makefile and the recall fixture. The touched Go packages still build. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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# Deterministic logic around a small model
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*Last verified: 2026-08-02 @ 7079a24. Living doc: correct it in place, do not append.*
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Written 2026-08-02. Branch `fix/integrated`.
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## The question
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Where does deterministic code attach, so that it helps the resident 1.7B now and
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does not fight a larger model later.
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## The mistake to avoid
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Everything deterministic we have added so far sits in front of the model and
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preempts it. Stage 0 matches, the model never sees the turn. That shape helps a
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weak model and blocks a strong one, silently.
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The fix is not to remove it. The fix is to know which rules are safe in that
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position and to have a way to measure the rest.
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## Four attachment points
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**Bypass, before the model.** The only shape that saves the 2.7s p50. Safe when
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the rule is a decision procedure over a closed set, not a guess over an open one.
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Exact match and clock queries qualify.
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**Evidence, beside the model.** Extractors emit candidate slots as a prior, not a
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verdict. The prompt carries the prior and the validator reuses it. A small model
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leans on it, a large one overrides it correctly.
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**Grammar, around the model.** GBNF built from live state rather than hardcoded.
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Costs nothing at runtime and prevents the error instead of catching it.
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**Repair, after the model.** Validation failure re-asks with the specific error
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rather than overriding. Self-retiring, because a better model trips it less.
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## The constraint that ranks them
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Latency must stay minimal. That demotes repair and promotes grammar.
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- Grammar first. Zero runtime cost, immediate gain.
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- Bypass keeps its place. It is the only thing that avoids a model call at all.
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- Repair only where failure is rare, capped at one retry.
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- Evidence is correct but costs a model call where a bypass costs none.
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- Ecosystem calls belong in the snapshot path, in parallel, on strict deadlines.
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Never serial before routing.
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## The line that never moves
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Separate policy from capability compensation. They look alike and age oppositely.
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Capability compensation exists because the model is weak. It should be measurable
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and retirable.
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Policy exists because we decided. The personal boundary, the feminine persona, the
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never-search-his-notes rule, the Hexis allowlist and confirmation binding. None of
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those yield to a smarter model. A larger model is more dangerous there, not less.
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## What we keep
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Every stage-0 rule stays exactly as it is. Retiring them was the wrong call and it
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would throw away a day of measured gains.
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- exact-match fast path
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- clock rules
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- `SystemTimeDateGrammars`
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- `AgendaQueryGrammars`
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- `thinSingleToken`, including the social lexicon and the verb-ending test
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Three additions, none of which change behaviour:
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1. Each rule gets an id and a fixture subset.
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2. Each rule writes one trace line when it fires.
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3. Each rule carries a comment saying whether its set is closed or open.
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That preserves today's accuracy and buys the option to revisit later with numbers.
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## What we build
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**Dynamic grammars from live state.** The grammars today are static: `routeGrammar`
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fixes the 7 intents, `responseGrammar` fixes the mood enum, kiwix `queryGrammar`
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fixes word shape. Everything else is a free string.
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Candidates in order of payoff:
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- **Hexis capability ids.** After discovery the exact list is known. As an enum,
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the model cannot name a capability that does not exist.
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- **Act fn allowlist.** Hits the two remaining false clarifies directly. They are
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the act-with-no-allowlisted-fn arm of `gateLLMDecision`, firing on invented verbs.
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- **Calendar names.** Enumerate the real ones for agenda and query slots.
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- **Known fact keys.** A read-back matches a stored key instead of inventing a
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synonym. This is the general form of the read side we scrapped on 2026-08-01.
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- **Nexus display names as act targets.** Only while the list stays small.
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Two rules or it backfires:
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- **Always include an escape value.** A closed enum with no `other` forces a wrong
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pick instead of a decline. The escape is what feeds the clarify gate.
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- **Cache the grammar string, keyed on the state that built it.** Rebuilding per
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turn is fine. Recompiling a large grammar per turn is not.
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## Retrieval over regex
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Resolve against stores that already exist rather than adding patterns.
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Identity is the worked example. Nexus is authoritative, `actionFact` already sets
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`Subject`, and `cmd/mavend/factenrichment.go` resolves it in the background. The
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scrapped work invented a parallel key namespace with nothing reconciling the two.
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A table that grows with real data beats patterns that grow with our patience.
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Note a real gap: the personal boundary in `cmd/mavend/actions_query.go` guards
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Maven's own store only. It does not know Nexus or Praxis exist.
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## Prerequisites
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Both are offline and need no deploy. Neither existed on 2026-08-01, and that is
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why the day cost what it did.
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**Failure taxonomy over the 77-case fixture.** Classify every miss as model
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ignorance, contract loss, prompt ambiguity, or our own bug. Only model ignorance
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deserves deterministic compensation. The other three get fixed once, for every
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model size. Inference, not verified: much of what we patched was the last two.
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**Per-assist ablation runner.** One command toggles each assist off and reports the
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accuracy delta on its fixture subset. Then retiring an assist is a config flip and
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a number, not an argument.
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## Held
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Not now, and nothing gets built for it.
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- A 12B or 35B model. It may be cloud or the 16GB workstation, and cloud crosses
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the current no-third-party line.
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- The escalation tier in `gateLLMDecision`.
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- Converting the stage-0 heuristics to evidence.
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One thing carries forward for free: deterministic assists emit confidence, never a
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verdict. A verdict cannot escalate.
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## Ruling on the idea list
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Nineteen ideas, judged on whether they earn a place in Maven. Checked against the
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tree on 2026-08-02, not from memory.
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### Build. Absent, and worth it.
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**SQLite FTS over embeddings.** No `fts5` anywhere in the tree. Lexical search is
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faster than the ONNX embedder, deterministic, and strongest exactly where the
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embedder is weakest, which is exact Russian names. Semantic search becomes the
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fallback rather than the gate. This is the highest-value absent item.
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**Cached TTS phrases.** No cache in `internal/tts`. Confirmations, clarifies and
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refusals repeat constantly and their text is already fixed. Pre-rendering them is
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cheap and pays straight into the minimal-latency constraint.
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**Synthetic router dataset.** Generate Russian tool-calling examples from the same
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schemas that will build the dynamic grammars. One source of truth for both, so the
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model is trained on exactly the shapes it will be constrained to at inference.
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**Command STT separate from dictation STT.** One path today. Commands want latency
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and a small vocabulary, meeting capture wants accuracy and can take its time.
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`internal/capture` already spools to disk, so the split follows the existing seam.
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Medium priority, behind the four above.
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### Polish. Present, incomplete.
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**Strict JSON everywhere.** Done 02-08-2026. The replier sends
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`phraser.ResponseGrammar`. It is exported once so its two copies cannot drift.
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The meeting summariser is wrapped and unwrapped in the daemon's Completer, so
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`internal/capture` stays text-in/text-out. Every model call now carries a grammar.
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**Evidence-first prompting.** Done 02-08-2026, in the evidence branch of
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`PhraseQuery`. Sources arrive numbered, one per line. The system prompt no longer
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calls them all "заметки" and no longer lets the model add anything of its own.
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Blank sources now take the knowledge branch instead of asking for an answer from
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an empty list. Not yet measured against a live model. Run `make eval-phrasing`,
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and watch the case `query-notes-do-not-answer`.
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**Progressive inference.** What exists is a fallback cascade, not escalation. On
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error it drops to something weaker. It never escalates on ambiguity. The upgrade is
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held with the bigger-model question, and `gateLLMDecision` is the hook.
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**Entity dictionaries.** Nexus is the canonical store, `behavior_ru.go` has
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`KeyAliases`, `ecosystem_acts.go` has verb aliases. Morphology is the gap, and the
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code says so in three places. Russian needs it and there is no stemmer in the repo.
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**Assistant state machine.** `confirm.go` models pending confirmation and
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`dialogue.Session` models the turn. There is no unified task state. Reuse the
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Praxis vocabulary rather than inventing one, because surfaced, acknowledged and
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resolved already mean something precise here.
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**Session memory compiler.** The digestion tick, `internal/memory` and
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`followUpMerge` do parts of this. Not a coherent compile step.
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**Background memory maintenance.** Mostly present, and the absent part is small.
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What exists: `internal/memeval` reads recent memory on a loop and writes
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observations, deduped against its own prior output, unable to speak or act. Facts
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supersede at write time through `voidsID`, `CorrectValue` and `VoidLatestFact`,
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and `RecentActiveFactsByKind` reads only live rows. Digests, ecosystem traces and
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media all prune.
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Three gaps remain, all in the fact store:
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- Superseding is turn-driven. Nothing reconciles two live facts that contradict
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unless a turn corrects one of them.
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- Duplicates written by different sources or phrasings stay as separate live rows.
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There is no key-level merge pass.
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- Nothing expires. The log is append-only and grows without bound, and no fact
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ever ages out on its own.
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Worth doing, and smaller than it looked. Not urgent.
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**Qwen CPT then narrow SFT.** In flight as #122. One disagreement with the idea as
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written: do not drop persona from the SFT. Persona is the stated reason the CPT
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exists, because stock writes `рад` where Maven needs `рада`. Keep the joint
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router-plus-persona tune.
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**Offline job queue.** The tick loop, `factEnrichmentWorker` with backoff, and the
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media prune already defer work. A general queue is tidier, not more capable. Low
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priority.
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**Response templates.** Present in `clarify.go`, in the `replySystem` arms and in
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`StubPhraser`. Worth extending to high-frequency confirmations, where latency and
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persona correctness both matter. Do not extend further. Templating the
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conversational reply removes the reason she is worth having.
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### Reject.
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**Grammar-first routing as a replacement for the LLM router.** Already measured.
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The classifier scores 36.8% full accuracy against 72.7% through the cascade.
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Replacing the model with rules halves the accuracy. Grammar-first as an ordering is
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what stage 0 already is, and that stays.
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**Hierarchical intent classification.** Seven intents is already the coarse layer.
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The specialisation stage exists as per-intent slot filling in `Extractor.Extract`.
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Adding a tier buys structure, not accuracy.
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**Tool-specific micro-models.** Contradicts the one-resident-model constraint,
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needs per-domain training data nobody has, and multiplies model loads on a single
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Vega iGPU. Dynamic grammars give the same domain narrowing at zero runtime cost.
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**Local knowledge graph.** Nexus owns entities and relationships. Building a second
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graph in Maven breaks the ecosystem line and creates two answers to one question.
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If graph traversal is wanted, it is a Nexus feature request.
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**Preemptible training.** Training runs in a separate workspace, not on the serving
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box. This only becomes real if CPT moves onto homesrv, and that is not the plan.
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## Known open, carried over from the deleted handoff
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Found live on 2026-08-01, not fixed. Everything else in that file was stale.
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- **Kiwix ranks badly on a correct query.** The stop-word pass eats the "and". So
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"кто написал войну и мир" reaches Kiwix as "war peace author". The top hit is
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"List of peace activists" and she summarises that as the answer. The tag
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`scrapped/fact-and-kiwix-phrases` fixes the query text. The ranking is the ZIM
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search and is untouched either way.
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- **Chat drags prior turns into an answer.** One live reply mixed the greeting, the
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height statement and a world question. It named Левитан as the author of Война и
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мир.
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- **`safeKey` drops Cyrillic**, so Russian calendar events on one day collide.
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Vikunja #443 with three fix options. It is a migration, not a patch.
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## Open after the 02-08-2026 deploy
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SearXNG runs on homesrv at `http://searxng:9563`, on `maven_default`, and the
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rebuilt `mavend` wires it. "кто написал войну и мир?" now routes to query, takes
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4 results off the search, and answers Толстой with the lookup opener. Two things
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that turn left unsettled.
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- **The turn was slow, and nobody knows yet whether that is real.** Route 7s,
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search 1s, phrasing 15s. The p50 in `docs/evals/2026-07-31-routing.md` is 825ms. It
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was the first turn after a cold start with the model still warming, so it
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proves nothing either way. Re-run the same question warm before treating it as
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a regression. Do not plan latency work off this number.
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- **The personal boundary has never run live.** `queryPersonal` in
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`cmd/mavend/actions_query.go` stops a question about him from reaching
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SearXNG. The question above is not one, so only tests cover it. Ask something
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about him on the deployed box and confirm from the log that no `voice: search`
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line appears for it.
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## Sequence
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1. Failure taxonomy over the fixture.
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2. Ablation runner, plus ids and trace lines for the existing rules.
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3. Dynamic grammar for the act fn allowlist.
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4. Dynamic grammar for Hexis capability ids.
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5. Dynamic grammar for calendar names and known fact keys.
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6. Extend the personal boundary to the ecosystem stores.
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Steps 1 and 2 come before anything is written in the router.
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