Both AI flows resolved suggested exercises to the user's library by exact exerciseId only, with no name fallback — so a model returning a good name with a null or invented id (e.g. "Overhead Press" when the library has "Overhead Press (barbell)") forced the user to hand-map an exercise they already own. Common with local models (Qwen via SparkControl) that don't reliably echo library ids.
Fix: a shared name matcher (lib/ai/exerciseMatch.ts) normalizes names (lowercase, strip the (barbell)-style qualifier + punctuation) and auto-resolves UNIQUE confident matches; ambiguous or unknown names stay flagged for manual mapping. Wired into both the workout and program generate flows at the parse->display boundary.
Client-only; no schema/data change. 274 tests pass; built + sideloaded to immense-voyage.local (1.2.0:9, clean non-root launch).
Keysat
891bf09d7e