From Browser to Brain v2.0: Engineering an LLM Agent to Navigate University Learning Systems on the Web
We demonstrated how a local cache of a university's Learning Management System (LMS) could empower a Large Language Model (LLM) to fetch course files in milliseconds. This solved read-only tasks, but genuine academic work is fundamentally interactive.
We wired our LLM to Browserbase, a serverless platform providing ephemeral, headless Playwright browsers, and wrapped it in a custom orchestration layer that thinks, types, and learns like the student it represents. The result is a robust, end-to-end workflow where our agent can log into a secure LMS like Canvas, open a time-sensitive quiz, reason with course-specific context from a vector database, formulate an answer in the student's unique writing style, and submit its workâall from within a sandboxed Chromium container.