Before diving into a new project, you’ve got one hurdle to clear: reading the docs. Whitepaper over 100 pages, audit reports dozens of pages, roadmap hidden in blogs, team announcements scattered across Twitter. Just flipping through all this stuff can take up half a day. Most people choose to skip it, rely on someone else’s three-sentence summary, and then bet their hard-earned money. LiteParse cuts out the document-reading step entirely. A tool open-sourced by LlamaIndex founder Jerry Liu on March 19, specifically designed for AI Agents to preprocess documents. Parses a 500-page PDF in 2 seconds, no GPU needed, supports over 50 formats, and is completely free under the MIT license. Just throw the docs in and ask it in plain language: What’s the token unlock timeline? Are there any critical vulnerabilities in the audit report? How much of the roadmap’s promised features are completed now? It’s already integrated into 46 mainstream AI platforms like Claude Code, Cursor, Warp, etc. If you’re using these tools, just one command to install and run. You can also use it standalone: `npx liteparse-mcp`. http://(github.com)/run-llama/liteparse