feat: land the recommendation-proof campaign (GOAL.md + scorer + corpus + UI badge)

[slittycode]

Lands ASA's recommendation-proof campaign — the four-sub-goal effort
to turn recommendation quality from a manual ear-test into a
measurable, repeatable score, grounded in Live 12 projects with known
device settings. Brings the work that was sitting uncommitted on the
local `worktree-goal-doc` branch into `main`.

What lands

`GOAL.md` (commit 1) — the north-star spec. Sits below `PURPOSE.md`
(the why) and above `BACKLOG.md` (candidate features). Four sequenced
sub-goals: (1) ground-truth corpus + fixture format, (2) the scorer,
(3) iterate + Gemini verdict, (4) proof in product. Authority order
documented at the top.

Backend (commit 2): the scorer + answer-key corpus.

• `recommendation_evaluation.py` — source-agnostic scorer
  implementing the role/parameter/direction-band rubric, with device
  equivalence classes (Compressor ↔ Glue Compressor earns credit),
  per-unit value tolerance bands, a chain-of-custody penalty that
  ports `phase2Validator.ts` semantics, and a `measurableIntent`
  equivalence credit so equivalent measurement routes earn partial
  score.
• `scripts/evaluate_recommendations.py` — CLI runner
  (`--source {baseline,gemini,deterministic}`, `--self-test`,
  `--report`, `--json`, `--verification-artifact`).
• `scripts/emit_deterministic_recs.ts` — Node 23+ TS bridge that
  wraps `apps/ui/src/data/abletonDevices.ts` so the free path can be
  scored without a Python re-port.
• 5 catalog-valid spec fixtures (house, techno, melodic techno, dnb,
  acid), each with a manifest, a Phase 1 fingerprint, a per-track
  README, and a tiny proxy melody MIDI. Rendered audio is gitignored
  (renders are the owner's half — see `NEEDS.md`).
• `NEEDS.md` — living campaign status doc and render-gated queue.
• `RECOMMENDATION_VERDICT.md` — provisional Gemini-vs-deterministic
  verdict on synthetic-proxy renders (Gemini 0.227 vs deterministic
  0.000; deterministic loses on chain-of-custody despite competitive
  raw coverage).
• 29 new tests; full backend suite 792 OK.

Frontend (commit 3): per-recommendation verification badge.

• `RecommendationVerificationBadge` mounted on both the mix-chain
  cards and the patch cards in `AnalysisResults.tsx`.
• Built on the shared `ui/` Pill primitive; honors invariant fix: chunk Demucs inference and stop boot-time memory spikes #4 by
  rendering nothing when corpus support is `NONE`.
• 8 new tests; full UI suite 671 passed.

`CLAUDE.md` — synced to reference the new harness module, the
deterministic-source bridge, and the UI badge stack.

Honest caveats

1. The corpus is on synthetic-proxy renders. The five fixtures were
   scored against numpy approximations of the specs, not Ableton
   renders, under an earlier "continue without input" directive. The
   known-settings axes (role recall, value accuracy) are provisional
   until the owner dials the specs in Live 12 and renders them
   (48 kHz / 24-bit FLAC; checklist in
   `apps/backend/tests/fixtures/recommendation_tracks/README.md`).
2. Port drift to verify. `recommendation_evaluation.py`'s chain-of-
   custody penalty ports `phase2Validator.ts` semantics as of commit
   `0eac1ee5`. Main's validator has drifted (~131 lines changed) — re-
   verify port parity before any sub-goal 3 prompt iteration that
   depends on the custody penalty.
3. Badge stays invisible until renders land. The generated artifact
   in `src/data/recommendationVerification.ts` is all-`NONE` pre-
   render. Wiring is proven by a unit test that injects a populated
   artifact; visible content waits on renders.
4. `evaluate_recommendations.py` deterministic-source caveat. The
   bridge consumes an `AudioFeatures` object. Turning a real Phase 1
   fingerprint into `AudioFeatures` should reuse the app's
   `analyzer.ts` projection rather than re-deriving — only then is the
   deterministic score a real verdict input.

Verification

• `cd apps/backend && ./venv/bin/python -m unittest discover -s tests`
  → Ran 792 tests in 73.241s, OK (skipped=1).
• `cd apps/ui && npm run lint` → clean (tsc).
• `cd apps/ui && npm run test:unit` → 671 passed across 51 files.
• `cd apps/ui && npm run build` → built in 1.53s.
• Smoke (`npm run test:smoke`) skipped — needs the live stack.

After merge

Worth a follow-up decision: clean up the local `worktree-goal-doc`
branch and its worktree at `.claude/worktrees/goal-doc/` once this
lands, or leave them for reference until the real renders happen?

🤖 Generated with Claude Code

[slittycode]

Verdict: APPROVE

Summary

Lands the recommendation-proof campaign: a research/eval harness (recommendation_evaluation.py, 1 206 lines) that scores Phase 2 recs against known-settings fixtures, a CLI runner, a Node 23+ TS bridge for the deterministic path, 5 genre fixture specs, 29 backend tests, a per-recommendation UI badge (8 frontend tests), and the GOAL.md north-star doc. The harness is strictly eval — it is not imported by analyze.py, server.py, or any server module; deleting it leaves the product exactly as it was. Phase boundary is clean throughout. The PR description is unusually honest about the caveats; the code matches.

Tests: Cannot locally verify (no venv or node_modules in this review environment). PR reports 792 OK backend / 671 passed frontend. Test quality is high — the suite exercises scoring semantics meaningfully (direction-scoring, equivalence credit, custody-penalty ordering invariant, determinism), not coverage padding.

Findings

Should fix

recommendationVerification.ts data vs. PR claim (apps/ui/src/data/recommendationVerification.ts): The PR description says "badge stays invisible until renders land." That's only true for the four NONE domains. bass (LOW / "Lightly checked") and master (MED / "Corpus-checked") will render today because those bands came from the synthetic-proxy scoring. The data file's own ⚠️ comment says these values are from synthetic proxies, so it's not hidden — but "Lightly checked" on a domain scored against numpy approximations, not Ableton renders, is easy to misread as real corpus evidence. Either ship the all-NONE pre-render artifact as the initial state and regenerate after real renders land, or ensure the tooltip copy makes the synthetic-proxy provenance explicit (the current tooltip only says Corpus support: 5 fixture(s) with no proxy caveat).

Worth considering

Keyword ordering divergence (recommendation_evaluation.py line ~626 vs recommendationVerification.ts line ~14): Python lists hat → hi-hat → hihat; TypeScript lists hi-hat → hihat → hat. The TS comment says it mirrors Python ordering — it doesn't. No functional difference (all three map to groove), but the comment is wrong and the divergence will bite if someone adds a keyword near hat that maps to a different domain and only updates one side.

Custody port drift: Already documented in the PR. Flagging it's the one thing that could make sub-goal 3 produce a misleading penalty score if run before the port is re-verified against the current phase2Validator.ts. The NEEDS.md note is sufficient; no action needed for this merge.

Test results

Cannot run locally (no venv, no node_modules). Reading the test code directly: ScoringTests.test_full_coverage_uncited_must_not_outscore_lower_coverage_cited is the most important gate (GOAL.md 2.d), and it's exercised correctly. AuthoredFixtureCatalogTests.test_example_fixtures_are_catalog_valid verifies all 7 domains are covered by the 5 committed fixtures — confirmed by inspection (all 5 manifests specify all 7 domains). CorpusVerificationTests.test_support_drives_confidence_band correctly validates the two-factor confidence logic. Frontend tests cover domain inference, graceful degradation, and the populated-artifact path.

Phase boundary check

Clean. recommendation_evaluation.py appears only in tests/, scripts/, and doc files — zero imports from analyze.py, server.py, or any router. The frontend badge reads a static pre-generated artifact, not live Phase 1 data; AnalysisResults.tsx passes only trackContext and category to the badge — both come from Phase 2 rec objects, not Phase 1 measurements. No Phase 1 fields are re-derived or overridden anywhere in this diff.

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