ontology in models (SSOT) → generated tokens:
- models.py: OntologyTerm + ColorFamily; ROLE/LIFECYCLE/AGREE terms (color+glyph+
  label) and an authored 12-family SAMPLE-WORLD model (hue-anchored). Variation =
  OKLCH lightness ladder + ±8° hue-fan → 8 shades/family = 96 sample slots. Sample
  axis (conceptual) kept separate from the measured-register axis (ROLE_FAMILIES).
- tools/gen_tokens.py: OKLCH→sRGB (no deps) → tokens.css (armada/ui) + tokens.json
  (triangle fetches at runtime, overrides :root). Validated vs DesignTokens. New
  tide.py 'tokens' step. Never hue alone (glyph+label per term).

triangle UX (low cognitive load, clear hierarchy):
- header calm at rest: one title line, one quiet coverage line, and the agreement
  bar is now the interactive sea-state instrument (overview + legend + level filter
  in one) — replaces the duplicated chips+stack+pills.
- faceted full-text search: free terms + scopes (sample:/gig:/phrase:/take:/style:/
  name:), covers the pattern registry, with 'matched-in' hints so results never feel
  mysterious; '/' focuses, clear button, teaching empty state.
- sound chips colored by sample family (shared lexical classifier from tokens),
  glyph-paired; agreement painted from the ontology (unparsed no longer red).
- tests: 51 green (OKLCH math, shade ladder greyscale-distinctness, ontology
  integrity, unparsed≠conflict, DRY tokens contract, classifier examples).