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AI Coach Platform Wiki
AI-Powered Training Platform for Medical Representatives
Welcome to the AI Coach Platform wiki. This is the central knowledge base for architecture, development, and project tracking.
Quick Links
- Architecture — System design, data flows, component diagrams
- Dev Onboarding — Setup guide for new developers
- Roadmap — Phase tracking and milestones
- Changelog — Version history
Planning (auto-synced from .planning/)
- Project Overview | Roadmap | Requirements | Research
- Phases: 01 | 01.1 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11
Project Stats
| Metric | Count |
|---|---|
| API Routers | 19 |
| ORM Models | 15 |
| Backend Tests | 107 |
| Pages | 50 |
| Shared Components | 53 |
| E2E Tests | 42 |
| Specifications | 0 |
| 0 | |
| Plans | 0 |
| 0 | |
| GSD Phases | 22 |
| GSD Plans | 102 |
| GSD Requirements | 52 |
Solution Overview
The AI Coach platform enables Medical Representatives (MRs) to practice and improve their HCP engagement skills through AI-powered simulations:
- F2F HCP Engagement: One-on-one role-play with virtual doctors
- Conference Presentation: One-to-many virtual department presentations
- Multi-dimensional Scoring: Real-time feedback and post-session analysis
- Training Management: Centralized content, progress tracking, and reporting