Chapters: 0:00 - Introduction to AI Agents 0:11 - Defining an AI Agent 0:28 - The "$1 Trillion Loop" Example (Coding Agent) 1:46 - AI Agents vs Traditional Software 2:22 - Limitations and Challenges (Hallucinations) 2:46 - The Legitimacy of Coding Agents 3:36 - The User Experience with Coding Agents 4:16 - Computer-Using Agents (CUA) 5:36 - The Distinction Between AI Agents and AI Workflows 6:19 - Patterns in AI Application Development (Routing, Parallelization, Orchestrator-Workers) 7:34 - The Future of AI Agents (Hype vs. Substance) 8:02 - Bear Case vs. Bull Case What are AI Agents, really? In this video, we cut through the hype and explain how AI agents work in practice—from the simple agent loop to advanced workflows where agents write code, use tools, and even control computers. 🔍 What you’ll learn in this video: The fundamentals of AI agents and the agent loop How coding agents generate and debug software What it means for an AI agent to “use a computer” Real-world AI workflows powered by agents The future of AI agents: bull case vs bear case Whether you’re a beginner curious about the hype or a developer exploring AI automation, this video breaks down the concepts clearly—in just 8 minutes.