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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>