Rolinmu Pan
Full-Stack AI Engineer · SaaS, Agents, Automation
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Upload a PDF and ask questions about it. Answers stream in as they are written, grounded in the document, while a web-search tool running over MCP gives a second answer from the web. Each browser session keeps its own files and conversation, and a voice mode lets you ask out loud and hear the answer.
Built with React, Express, LangChain and Server-Sent Events.
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Most agent bugs are invisible: the agent loops, drops context or calls a tool it shouldn't, and all you see is a wrong answer. I wrote an agent harness from scratch in Python — loop control, context compaction, permissioned tools, sub-agents — and Harness Studio, a web app that replays every run: one lane per agent, each event explained, and the exact context each agent held when it stopped.
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