video1.0<iframe src="https://www.loom.com/embed/05d3ffa27b844c18af255784b3974514" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/05d3ffa27b844c18af255784b3974514-ae850fc0618e65cd.gif301.611In this video, I walk you through the process of building an AI-powered workflow engine from scratch, showcasing how I manage video and audio locally without relying on external APIs. I demonstrate using a script to read various files and transcribe YouTube videos, while also processing screenshots and audio transcripts through different models. I highlight key concepts like the human-in-the-loop (HITL) approach and the execution of workflows that can trigger additional branches. I encourage you to explore these tools and techniques in your own projects, especially if you're interested in enhancing your workflow automation capabilities.