Decision Models in Action: Build a Hybrid LLM Workflow

A hybrid workflow for browser automation can be built by combining decision models with Large Language Models (LLMs). In this approach, the decision model handles closed-ended selections, such as choosing which button to click or what item to select from a menu. The LLM is reserved for open-ended generation tasks, like composing a message or reasoning about a complex request. Python orchestrates the entire process, using tools like Playwright MCP to interact with the browser, gather page information, and execute the actions chosen by the models. This method is demonstrated through a case study involving a hotel search, where the system navigates a website and prepares an inquiry based on a natural language prompt.