🕵️🌐 Building Browser Agents - notebook No API? No problem. Browser Agents can use websites like you do: click, type, wait, read. 🎥 In the video, the #agent: - Goes to Hugging Face Spaces - Finds FLUX.1 [schnell] space (by Black Forest Labs) - Expands a short prompt ("my holiday on Lake Como") into a detailed image generation prompt - Waits for the image - Returns the image URL 📓 Step-by-step notebook in the comments. 𝗪𝗵𝗮𝘁 𝗲𝗹𝘀𝗲 𝗰𝗮𝗻 𝗶𝘁 𝗱𝗼? Great for information gathering and summarization 🗞️🗞️ Compare news websites and create a table of shared stories with links ▶️ Find content creator social profiles from YouTube videos 🛍️ Find a product's price range on Amazon 🚂 🚌 Gather public transportation travel options... 𝗛𝗼𝘄 𝗶𝘀 𝗶𝘁 𝗯𝘂𝗶𝗹𝘁? 🏗️ deepset #haystack → Agent execution logic  🧠 Google DeepMind Gemini 2.5 Flash → Good and fast #llm with a generous free tier 🛠️ Microsoft Playwright #MCP server → Browser automation tools: navigate, click, type, wait... Even without vision capabilities, this setup can get quite far. 𝗡𝗲𝘅𝘁 𝘀𝘁𝗲𝗽𝘀 - Move from notebook to real deployment - Try a local open model - Incorporate vision 💬 And you? Have you built something similar? What's in your stack?