Capture Live (b): Review Frontend Phase 1
Capture now, make sense later.
Capture Live (a) closed 13-05-2026 (M1's "frictionless input + raw data collection" thesis validated at a real event 10-05-2026; URL channel relocated to m2c). M2b is now active. The interim review-view scaffold at `app.remoir.app/review` (RPC + minimal HTML page built during (a)) is live but deliberately rough — m2b's job is to land the real review frontend: stack chosen, deployment URL chosen, auth model chosen, list view + detail view + filters, no editing in Phase 1. See `project-management/decisions.md` 10-05-2026 ("Pending open decisions from ADR-003") for the three open decisions m2b resolves.
Active milestone
Capture Live (b) — Review Frontend Phase 1
What's next
- Capture Live (c) — Multi-Modal Capture (now includes URL channel, relocated from (a) 13-05-2026)
- AI Enrichment (prototype) — scoped 12-05-2026, replaces former "Automated Loop"
Previous milestone
Capture Live (a) — Photos only (complete 13-05-2026)
Tracks · Owner
Capture Freek
Milestone timeline
Ten named moments where something demonstrably works. Numbered for ordering, not for ranking — they can be reordered, inserted, or deferred without renaming anything else.
Recent updates
What landed in the past few sessions. Pulled live from STATUS.md.
Six development tracks
Tracks are permanent parallel workstreams. They apply across the whole platform and never finish — they mature over time. A single milestone typically advances two or three tracks at once.
Capture
Making input as frictionless as possible. WhatsApp, email, Apple Shortcuts, free-form text, voice. The moment of capture is the highest-friction point and the most important to solve. If capture feels like work, nothing else matters.
Knowledge Graph
The structured collection layer. Objects, links, templates, Capacities (for Remoir Events), Supabase schemas (for Remoir Family). Where user value is created through organisation and retrieval.
Data Pipeline
The backend plumbing. Webhooks, automation (Make, n8n, custom), OCR, geocoding, storage, error handling. What moves data from capture to knowledge graph reliably.
Raw Data
Storing all inputs in their original unprocessed form with full metadata from day one. The foundation for AI parsing and the user's personal data asset. User-owned and controlled from the first line of code. Non-negotiable.
AI Enrichment
Parsing, tagging, linking, summarising using AI. Reduces manual effort. Eventually replaces structured input entirely with free-form natural language. Trained on the Raw Data track. m3 (AI Enrichment prototype, scoped 12-05-2026) lands first on this track — a lightweight Claude-API prototype over raw inputs that generates the empirical signal needed to scope m6 (AI Parsing, production-grade).
Sovereignty
User ownership and control of all data and metadata. Group governance. Selective sharing with commercial parties on user terms. Long-term vision — informs architecture decisions now without being built now. Includes the federated ownership layer (see vision/future-layers.md).