ProductAppsPersonal
AI Question Tracker
AI Question Tracker stores questions as a durable thinking index. The product
Positioning
AI Question Tracker stores questions as a durable thinking index. The product premise is that answers are often transient, but the questions a user asks across AI platforms reveal long-term interests, projects, locations, devices, and decision loops.
Phase 1
- Register
ai-question-trackerat/app/ai-question-tracker. - Show question records with platform, model, asked date, topic, project, tags, status, follow-up count, and value score.
- Add local search and filters for platform and status.
- Add a detail panel with question, answer summary, metadata, and tags.
- Add a weekly timeline and topic breakdown.
- Include a ChatOS integration placeholder.
Phase 2+
- Let official ChatOS write question records after user consent.
- Import AI platform exports.
- Add browser extension capture as a separate permissioned product lane.
- Add semantic search and local-first archive options.
- Explore MCP connector export after data scopes are clear.
Non-goals
- No real ChatGPT, Claude, Gemini, Cursor, or CodeX account sync.
- No browser extension capture.
- No attempt to preserve every AI answer.
- No hidden cross-platform scraping.
Data Boundary
The app uses bundled mock records only. It does not read AI platform accounts, browser history, local files, or real conversations.
Relationships
AI Question Tracker relates to ChatOS, AI Context Builder, Search, Files, and future permission review. It should remain focused on questions as the index, not full answer archival.