Dev Tutorial: Building a Personalized Learning Path Agent with TypeScript and HazelJS

A developer tutorial published on DEV Community walks through building a multi-agent AI system in TypeScript using the HazelJS framework to create personalized learning paths. The system addresses common challenges in self-directed learning, including goal definition, skill assessment, resource discovery, and progress tracking. It uses five specialized agents — intake, resource search, curriculum planner, progress tracker, and a coaching orchestrator — each handling a distinct part of the learning workflow. HazelJS features such as the @Agent, @Tool, and @Delegate decorators enable the agents to collaborate while remaining independently maintainable. The tutorial argues that agentic AI is better suited than single-model approaches for personalized education because it allows domain-specific reasoning and continuous adaptation to user progress.