Here's your post refined and ready to paste: I got tired of babysitting video renders at 2 AM. So I built an n8n workflow that generates videos while I sleep. Not a concept. Not a prototype. A production system that's been running for weeks. The Problem I Was Facing: I was spending 30 minutes per video doing the same repetitive tasks: - Wait for Veo3 to finish rendering (3-5 min, constantly refreshing) - Download the video - Write YouTube titles and descriptions - Upload to Drive - Upload to YouTube - Log everything in a spreadsheet If I wanted to test 10 video ideas, that's 5 hours of my day gone. The Solution: I built a system that handles the entire pipeline automatically. How It Works: The flow starts with simple video ideas in a Google Sheet (or generated in batches). n8n picks them up and turns them into detailed cinematic prompts for Veo3—camera angles, lighting, environment included. From there, the workflow: - Handles Veo3's asynchronous rendering with built-in wait and retry loops - Converts the final output to MP4 - Uploads to Drive - Generates YouTube metadata - Publishes the video - Logs every step - Sends me a Gmail confirmation Once triggered, it runs end-to-end on its own. If anything fails: - I get an email with the exact error, operation ID, and retry count - No digging through logs - I know exactly what broke and where Real Results: ✅ Queue 20 ideas before bed → wake up to 20 rendered, uploaded videos ✅ Multiple clients paid $200+ for similar end-to-end automations ✅ Generated 150+ videos in 3 weeks ✅ Gave me back 20+ hours per week Every video used to require me to remember: Did I check the render? Did I rename the file? Did I write a description? Did I log it? The automation doesn't just do those tasks. It removes the mental overhead of tracking them. Want to build your own? Full Workflow + Setup :https://github.com/dineshbarri/AI-Video-Factory-Veo3-Automation-Pipeline