Multi-Agent AI Tool Converts Any Topic Into Handwritten Study Notes as PNG
A developer has built an autonomous multi-agent system that generates handwritten-style study notes from any user-entered topic or question. The tool chains three AI agents — a Researcher, a Note Renderer, and a Critic — built using LangGraph, Tavily Search, and Playwright. The Researcher agent fetches and summarizes web content, the Renderer converts it into styled HTML with Google's Caveat handwriting font, and the Critic validates output quality before approving the final result. If validation fails, the system loops back automatically until the notes meet defined standards. The project was submitted to DEV's Education Track challenge and is publicly available via GitHub and a live Streamlit app.
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