Bernt
c47a58f76b
- STOP Rule: No new pipeline until 20 real Decision Cases exist - Field Readiness Gate: 5 questions before building any feature - Sprint Goal: Every sprint must produce more verified Decision Cases - Six stories: 1. Session Management — organize missions by location/date 2. Mission Import — upload video/images/GPS/EXIF, store immutably 3. Dataset Explorer — browse, filter, search, map view 4. Annotation Workspace — review/correct AI, version history 5. Decision Case — full chain: Observation→Evidence→Finding→Decision→Business Impact 6. Replay — step through mission chain (V1: simple playback) - Not in first release (intentionally postponed): GPU Queue, Hyperparameter Search, Distributed Training, Benchmark, Canary Deployment, Auto Retraining, Bias Dashboard, Drift Detection - Definition of Done: Complete vertical slice from reality to verified decision - Definition of Ready for Epic-002: 20 real Decision Cases + Field Readiness Gate - Technical stack: React+TypeScript, Node.js+Express, PostgreSQL, S3/R2, Bull, Python AI service - Quality gates: TypeScript strict ≥80% coverage, no secrets, OAuth 2.0, immutable audit log, GitOps Rationale: Prove the system works end-to-end before scaling. Focus on learning from reality, not building everything upfront.
nordea-kyc-fraga3
@ f831552401
