9-lives: Gamified Learning

Inspiration

The idea for 9Lives came from noticing that AI has transformed almost every industry except education. Learning from a typical AI model often feels like reading a dictionary. It is helpful but unstructured, and your knowledge gets buried in an endless chat thread. We wanted something different. Instead of a chatbot, we built autonomous AI agents that take raw information and turn it into real lessons, modules, and learning paths without requiring back and forth conversation.

What We Learned

We realized that people do not just need answers. They need structure that actually guides them. Everyone learns differently, and the real challenge is not accessing information but connecting it in a way that sticks. Even simple rewards and progress tracking motivated learners far more than we expected.

How We Built It

We currently offer nine subjects, and every piece of content is generated independently by our AI agents. Users pick a subject, and the system automatically creates the syllabus, lessons, quizzes, and progress flow. Because the process is fully autonomous, the entire experience stays organized instead of turning into a chaotic chat log. We kept the interface clean and added light gamification to keep things engaging.

Challenges We Faced

The toughest part was allowing the agents to operate autonomously while still ensuring the content stayed accurate and meaningful. We also ran into the usual hurdles such as time constraints, bugs, and having to rebuild certain features more than once.

What’s Next

We are now focused on refining the prototype, improving personalization, and making the autonomous learning experience smoother and more adaptive. In the long term, we want 9Lives to become a place where anyone can learn anything through a structured path, not a messy conversation history.

Built With

• github
• github-actions
• nextjs
• typescript