Case study

Practical Paths: personalized learning tied to economic opportunity.

A platform for AI-generated learning paths tied to career roles, built as a Next.js app with a Prisma data model, an admin panel, and a Chrome extension.

Learning infrastructure AI personalization Career paths Progress systems

How paths are generated

Paths are generated by a Claude API call from the user's profile and the role's required skills and components.

What the repository contains

The data model covers roles, skills, components, milestones, resources, progress tracking, and community contributions. A Chrome extension (Manifest V3) lets contributors add resources to components. An admin panel manages roles, skills, components, and resources.

Conversion path

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