Closer

SUPPLEMENTAL CORRECTION to entry #420: captured the full Phase L.A-L.F Audio Processing Gauntlet buildout, not only the final L.F verification slice · Built live extraction gauntlet foundation: DB schema, rollback, /extraction-gauntlet route, WebSocket sidecar, 90s/2s rolling window assembler

Multi-model LLM gauntlet: 11+ paid validation runs across DeepSeek V4-Flash/V4-Pro, Kimi K2.5, Qwen3-32B, GPT-OSS-120b, Gemini 2.5/3.1, Anthropic Haiku+Sonnet. DeepSeek V4-Flash full-stack confirmed empirical winner at $40/mo per agent (3.9x cheaper than Anthropic at same quality grade). · Field definitions methodology: 47-field training doc with disambiguation/examples/edge cases, integrated into provider tool schemas across all candidates. Empirically validated as quality fix (MSRP-vs-sale-price extraction error resolved). Priority.tier locked to 28-label vocabulary; credit_tier_inference replaces duplicated payment framing field.

Ran Phase L.F end-to-end extraction gauntlet verification across default, Anthropic benchmark, pause/resume, and reconnect smokes · Captured dashboard screenshot proof for fixture, Anthropic, and pause/resume runs

Phase A.0 encryption foundation review — caught DEK cache race condition (TTL eviction zeroing buffer mid-use) + master KEK env reload on every cache miss · DB ops unblock (DATABASE_URL/migrations/backfill) + env-and-secrets.md operational guidance for TENANT_ENCRYPTION_MASTER_KEY (generation, loss scenario, rotation, backfill workflow)

B1/B2/B2-variant/B3 wearable mic gauntlet scenarios validated on real DJI Mic 3 hardware (4/4 PASS, all CSV-logged) · Discovered + diagnosed wearable route selection bug (Closer was preferring built-in mic over paired wearable); codex patched across 3 iterations

Shipped Phase B wearable mic privacy-pause flow with wearable route preference, manual Pause/Resume, 30-second auto-pause, disconnect prompts, explicit iPad-mic continuation audit events, durability pause-window handling, iOS tests, and dealer troubleshooting copy. · Shipped M4 transcription pipeline foundation with AssemblyAI primary, Deepgram fallback, tenant DEK encryption, migrations, Inngest events, recording.chunk_uploaded handler, canonical segment offsets, shared R2 key derivation, and local-dev docs.

Recovered from parallel Claude Code session collision on feat/m4-transcription-pipeline (two CC sessions caused MM index state, misplaced commit, 50+ tangled files); created wip/recovery-snapshot-2026-05-03 safety branch then surgically split work into clean branches via update-ref + bulk file checkout + manual M4-only hunk surgery on store.ts, capture-routes.test.ts, packages/shared/src/v1/capture.ts · Committed M4 transcription pipeline foundation on feat/m4-transcription-pipeline (47 files, +7092/-889: AssemblyAI/Deepgram router, tenant DEK encryption, migrations 0003/0004, Inngest events, capture-store with pg_advisory_xact_lock offset recompute, in-memory mirror)

Built per-tenant DEK envelope encryption for M4 transcript text with migrations, runtime helpers, backfill, cache hardening, and tests · Added Inngest scaffolding and explicit recording.chunk_uploaded publishing from upload completion with duplicate-safe event IDs

Audio session interruption handler shipped (production handler with .began/.ended, lastFinalizedSegment tracking, stop-during-interruption fix, discardLocalFile defensive cleanup, orange warning UI, 4 unit tests) · Phase 2 background URLSession regression diagnosed and fixed (temp filename length bug — R2 multipart IDs exceeded APFS 255-byte filename limit)

Built Phase B capture reliability foundation across iPad, API, DB, R2, and admin gauntlet surfaces · Shipped unfinished-conversation recovery flows: Finish & Upload, Continue Recording, Discard/quarantine

Built parsed-conversation continuity banner: iOS UnfinishedConversationSummary detection, banner UI with Finish/Discard action sheet, persisted closedConversationIds + PendingAbandonRequest retry queue, 24h auto-finalize, R2 quarantine via parsed_discard items, custom Decodable for legacy JSON tolerance, conversation-isolated finish path · Shipped conversation abandon API endpoint: POST /api/v1/conversations/{id}/abandon with auth + tenant + rate limit + idempotency, 'abandoned' state + recording.abandoned event type, durability + admin-health classify abandoned separately and exclude from SLO denominator, parsed_discard quarantine requires conversation_id with tenant validation

Phase B capture system technical review (3 rounds) — P0-P5 feedback, verified fixes · Phase B real-device gauntlet test plan — 35 scenarios with pass/fail criteria

Hardened Phase B capture reliability across backend, iOS, and admin surfaces. · Built the Aitheos operator health dashboard foundation and Gauntlet Mode testing cockpit.

Hardened Phase B capture API with auth, tenant gates, consent policy, idempotency, checksum verification, deletion retry, multipart GC, rate limits, and Postgres-backed capture-store path · Hardened iPad capture reliability with engine-owned rolling segments, wearable-backup upload/retention flow, per-install device identity, heartbeat reporting, recovery parsing, and max-recording policy

Comprehensive pre-Phase-1 doc audit across 13 specs + 6 architecture contracts + cross-cutting docs; produced docs/doc-review-2026-04-27.md with severity-tiered punchlist · Added production hard-guard for PHASE_B_BYPASS_AUTH in apps/api/src/lib/env.ts (throws on boot if APP_ENV != local)

Workspace canonicalized: /closer is canonical, /dealership-ai archived, feat/pitch-page (Saif contract) pushed from local-only state to GitHub · Cloudflare R2 setup: closer-audio-transient-dev bucket + 7-day lifecycle + CORS + scoped API token, .env.local wired

5-architecture parallel analysis (AWS/GCP/Best-of-Breed/Azure/Cloudflare) with full cost models · Architecture comparison + hybrid recommendation: Option 3 best-of-breed managed with shared Neon Postgres

Strategic analysis of Saif contractor proposal — flagged 3 structural risks (lifetime rev-share, non-circumvention gap, churn/clawback) · Interactive deal structure negotiation — 10+ decisions locked (rates, floor mechanics, scaling bonus tiers, team-builder path, client priority)

Cloned Joel's (ThirstAI) GitHub repo, security-inspected all files, merged into project · Rewrote CLAUDE.md consolidating README, meeting notes, pitch docs, and tech stack into single reference

Cover letter (email-ready pitch) for 4-dealership AI solution proposal · 10-section detailed technical proposal: lead gen, sales floor intelligence, no-pressure sales model, commission attribution, multi-language, dashboard, privacy, competitive advantage, pricing/ROI, implementation phases