how AI agents actually work

🚀 Check my Prompt Engineering course on Futurise: https://dub.sh/PromptEngineering In this tutorial you will learn the underlying architecture of how Computer-Using Agents (CUA) work. With the release of OpenAI Operator, browser agents have gained popularity. So you've probably wondered how these AI can actually control your computer just from a text prompt? This video teaches you how LLM-based agents use a computer interface, by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This video breaks down the fascinating details behind how these agents actually work under the hood. You'll learn: - How closed-source and open-source agents like OpenAI Operator, Browser Use, LaVague and Claude Computer Use navigate web interfaces. - Learn the details of the three core components: the browser, the agent, and the controller. - Step-by-step walkthrough of how these agents process tasks and make decisions. Perfect for developers, AI enthusiasts, or anyone curious about the latest developments of human-machine interaction. No prior technical knowledge required, we explain complex concepts using clear examples and visualizations. 🔗 SOCIAL LINKS: 🌐 Website/Blog: https://www.futurise.com/ 🐦 Twitter/X: https://twitter.com/JoinFuturise 🔗 LinkedIn: https://www.linkedin.com/school/futurisealumni 📘 Facebook: https://www.facebook.com/profile.php?id=61554991705154 📣 Subscribe: https://www.youtube.com/@LeonPetrou?sub_confirmation=1 ⏰ Timestamps: 0:29 Demo: Finding Most Popular Video 1:57 Available Computer Using Agents 3:35 Core Components Overview 5:06 Computer-Using Agent (CUA) Architecture 6:14 Step 1: User Instruction 6:44 Step 2: Browser Scraping 8:17 Step 3: Selector Map Generation 9:45 Step 4: Browser Screenshot & Interactive Elements 11:25 Step 5: Agent Evaluation & Prediction 15:17 Understanding the Action Registry 16:16 Step 6: Controller Action Execution 18:07 Step 7: Task Completion Programmatic Check 18:46 Step 8: Task Completion LLM Check 20:17 Step 9: Return Result #AI #ComputerScience #Programming #MachineLearning #TechTutorial #BrowserAutomation #GPT4o #WebAutomation #CUA #OpenAIOperator #ClaudeComputerUse #BrowserUse