Why I built Prism AI (and why text walls are the enemy) Hi Product Hunt! 👋 I'm the maker behind Prism AI. I built this because I hit "AI fatigue." I love tools like Perplexity, but I realized I was spending more time reading 2,000-word Markdown reports than actually understanding the data. As a visual learner, I wanted an agent that didn't just summarize, it needed to illustrate. Prism AI is an open-source research engine that autonomously generates 2D/3D visualizations, interactive animations, and dynamic charts to explain what it finds. A few things I’m proud of under the hood: * LangGraph Orchestration: It uses a state-based "Plan-and-Execute" model to self-correct its research. * Python/Asyncio Swarms: Worker nodes run in parallel to hit deep-web sources 10x faster. * The Viz Engine: The agent actually codes its own UI components on the fly to match the data it finds. It’s 100% open-source and self-hostable. I’d love to hear your thoughts on the orchestration logic or how you’d use these visual agents in your own workflow. I'll be here all day to answer questions! 🛠️ GitHub Repo: https://github.com/precious112/p...

Prisma AI

Stop reading AI research. Start seeing it.

Stop reading AI research. Start seeing it.