AI Education OS
An executive AI-education platform — curriculum, deliverables, exams, and skills mapping in one operating view.
Problem
Serious AI upskilling has no operating system — courses, deliverables, practical exams, portfolio artifacts, and certifications live in disconnected trackers, so progress is a feeling instead of a measurement.
Solution
A curriculum platform with weighted progress scoring across materials, deliverables, exams, and portfolio work — including honest mechanics like stale-pass and lost-credit scenarios that decay unverified knowledge.
Architecture
AI Education OS applies the operations mindset to learning itself: progress is a weighted, decaying score across evidence types, not a checkbox. It is labeled exactly what it is — a Phase 1 prototype on seed data — and its acceptance-criteria gate is part of the point: even prototypes ship against written criteria here.
Repo evidence
- Phase 1 gated on 20/20 written acceptance criteria — build clean, lint clean, 13 routes
- 16 courses, 52 materials, 40 deliverables, 31 skills seeded through a typed data model
- Stale-pass and lost-credit scenarios modeled — passed exams decay if not revalidated
- Explicitly labeled prototype — runs on seed data and localStorage, no backend yet