Build Wisp: on-device transcription studio (web + native, one codebase)

Private, offline speech-to-text that runs Whisper on the user's own device —
free, no account, no per-minute fees. Replaces Otter.ai / Rev.

- Pure, tested engine: chunking, overlap timestamp-stitching, exports
  (SRT/VTT/TXT/MD/JSON), WAV codec, resampler, job queue, model catalog (142 tests).
- Platform-abstracted TranscriptionEngine: transformers.js on web (loaded from
  CDN at runtime to dodge Metro's onnxruntime-web bundling limits), whisper.rn
  on native. Shared pipeline orchestrates decode -> chunk -> transcribe -> stitch.
- Cross-platform StorageRepo (Dexie web / expo-sqlite native), Zod-validated.
- UI: library + search, import, live-progress transcription, synced click-to-seek
  editor, multi-format export; model picker + privacy in settings.
- Web ships as a single-page PWA with COOP/COEP isolation for threaded WASM;
  Docker (nginx) image + Traefik compose for wisp.briggen.dev.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

src/lib/ids.ts

@@ -0,0 +1,6 @@
+// Small id helper for transcripts/jobs. Sortable-ish (time prefix) + random tail.
+export function newId(prefix = ''): string {
+  const time = Date.now().toString(36);
+  const rand = Math.random().toString(36).slice(2, 10);
+  return `${prefix}${time}${rand}`;
+}