Reconcile every track across three corners and light the cells where they
agree or fight, so "is our analysis good?" becomes a measured number.

- build_catalog_view.py: reconciler over 73 tracks; pure build() + thin main(),
  validates against the pydantic CatalogView on emit
- tidal_score.py: parse indented do-block dN (recovered burn_this_book + 13 more)
- agree() taxonomy: unparsed / no-claim / agree / partial / conflict / divergent
  — a parser miss is NEVER reported as a disagreement (the cardinal fix)
- models.py CatalogView → gen_ts_types.py → types.gen.ts (DRY single source)
- tests/: 28 pytest — parser regressions, agree taxonomy, IT-on-real-data with
  coverage regression guards, DRY contract (mechanically tests the metadata prior)
- triangle.html: Ship's Bridge lit-cell dashboard (served by serve.py)
- tasks/013: captain's log

Result: 47 agree / 5 partial / 2 conflict / 3 divergent / 16 no-claim;
recorded 40/73; EDA coverage 1/63 (the gap, now visible). The first conflicts
flagged were our own parser bugs — metadata was righter than the machine.