Uncookd

What Inspired Us

We were inspired by a fundamental problem with modern AI tutors: they're oracles, not companions. They give you the answer, which encourages shallow learning. We wanted to build a responsible AI mentor that fosters critical thinking - a virtual study group where students could reason together with AI, not just get answers from it.

How We Built It

Our project is a real-time, multi-agent virtual classroom built on a modern tech stack:

Frontend: Next.js, React, integrated with tldraw for a live, interactive whiteboard.
Backend: Python, FastAPI, CrewAI

AI Core

CrewAI to orchestrate a team of specialised AI agents:

Socratic Mentor: Guides the user with questions, never giving the answer outright.
Domain Analyst: A subject-matter expert that reasons with the user and plots graphs directly onto the whiteboard.
Critical Thinker: A "devil's advocate" agent that challenges assumptions to promote deeper thinking.

What We Learned

Agents > A Single Model:
A multi-agent system is far more robust and responsible. By separating concerns (e.g., Socratic guidance vs. critical analysis), we built a system that is more auditable, safer, and avoids the "do-it-all" pitfalls of a single LLM. The pivotal moment was realising LLMs are best used as reasoning engines that delegate actions to other agents and tools.