Evidence note: Metrics in this note refer to repository tests or controlled scenarios unless a live production source is explicitly linked.
RoutineAI is a student planning product built with Next.js and Supabase. It combines deterministic scheduling, AI-assisted planning, reminders, focus tools, and structured organization for a student's day.
Verified scope: The current repository reports 106/106 tests passing. That test count is repository evidence; it does not establish production-scale validation.
1. The Product Workflow
The core workflow turns classes, tasks, exams, reminders, and user priorities into a usable daily plan. Deterministic scheduling handles the constraints, while AI-assisted planning supports suggestions without replacing the underlying scheduling rules.
2. Architecture and Verification
The product uses a Next.js interface with a Supabase-backed data layer. Verification focuses on the implemented planning behavior and repository tests rather than unsupported infrastructure or availability claims.
Sources, Code & Further Reading
- • Live Application: ait-student-routine-manager.vercel.app — Deployed student planning product; the source repository is not presented as public.