Andrew Nguonly's project, Lumos, is a Chrome extension that leverages local large language models (LLMs) to enhance web browsing by summarizing content, answering questions, and even assisting with language studies. Built on LangChain and powered by Ollama, Lumos utilizes a classification technique to determine when to execute specific tools, such as a built-in calculator for arithmetic tasks or image downloading for multimodal queries. The tool's design emphasizes user control and efficient tool execution, with potential for future integration of more functionalities and possibly a shift to a dedicated browser platform. The architecture allows Lumos to effectively handle complex prompts and maintain reliability, while also exploring opportunities for scaling its capabilities beyond the limitations of a Chrome extension.