Say Goodbye to Manual Refreshing: Building an AI Medical Appointment Agent with Playwright and LLMs 🏥🤖

We’ve all been there: waking up at 6:00 AM, frantically refreshing a hospital registration page, only to find the "Available" slots turn into "Fully Booked" in milliseconds. Traditional automation scripts often fail because modern web interfaces are dynamic, loaded with shadow DOMs, and protected by anti-bot measures. In this tutorial, we are building a next-generation AI Agent for Browser Automation . By combining the power of Playwright , LLMs (Large Language Models) , and Redis , we’ll create an agent that doesn't just click buttons—it understands the page layout to execute complex medical appointment workflows. If you've been looking into LLM automation or autonomous agents , this guide is for you. The Architecture: How the Agent "Sees" and "Acts" Unlike legacy Selenium scripts that rely on brittle XPaths, our agent uses an LLM to interpret the DOM structure and decide on the next best action. graph TD A[User Goal: Book Cardiologist] --> B{Agent Brain - LLM} B --> C[Playwright: Cap