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OPEN TO WORK · FRONTEND × FULL-STACK AI ·

AI learning platform — solo build

Ilimi

A full-stack AI product built end to end by one person: give it a topic, and it generates a structured course pathway with modules, sections and adaptive quizzes.

What it is

Ilimi turns a topic you want to learn into a persistent, structured course — pathways, modules, sections and adaptive quizzes generated from a single prompt. I built it after noticing that general-purpose AI chat gives useful answers but leaves knowledge scattered across disconnected chat histories.

How it’s built

A nine-model relational schema (pathways → modules → sections, quizzes → questions → options) sits behind end-to-end typed tRPC procedures with Zod validation.

Production concerns are shipped, not sketched: Kinde authentication, Paystack subscriptions with webhook handling, and Sentry monitoring across client, server and edge runtimes.

Highlights

  • →Solo full-stack build — 65 commits, zero co-authors
  • →Nine-model relational schema, end-to-end typed
  • →Auth, subscriptions and monitoring in production