docs: complete domain research
Research dimensions:
- STACK.md: Technology stack recommendations (Next.js 15, Supabase, Vercel AI SDK, BullMQ)
- FEATURES.md: Feature landscape analysis (table stakes vs differentiators)
- ARCHITECTURE.md: System architecture design (headless, multi-tenant, job queue)
- PITFALLS.md: Common mistakes to avoid (rate limits, AI slop, cost control)
- SUMMARY.md: Synthesized findings with roadmap implications
Key findings:
- Stack: Next.js 15 + Supabase Cloud + Vercel AI SDK (multi-provider)
- Architecture: Modular monolith → microservices, headless pattern
- Critical pitfall: API rate limits (Meta reduced by 96%), AI cost explosion
Phase recommendations:
1. Core Scheduling Foundation (6-8 weeks)
2. Reliability & Differentiation (4-6 weeks)
3. Advanced Innovation (8-12 weeks)
4. Scale & Polish (ongoing)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
dc3ea1cf58