I Automated a YouTube Channel With AI — 29 Videos, $0 Budget, Here's What Happened

Three weeks ago, I had zero videos on YouTube. Today I have 29 — including 4 long-form videos over 7 minutes each. Total budget: $0. Total manual editing: zero. Here's exactly how the pipeline works, what broke along the way, and the brutal truth about what happened to the views. The Pipeline Every video goes through the same automated pipeline: Script → TTS → Subtitle Sync → B-roll/Infographics → Build → Upload Each step is a Python script. The whole thing runs on a Mac Mini with 64GB unified memory. Step 1: Script Generation The AI agent writes scripts following a proven formula I discovered through A/B testing: Hook : Contrarian statement ("Don't save in a savings account") Korean financial context : Specific to Korea's jeonse system, mandatory insurance culture, salary structures Concrete numbers : Always include specific amounts (₩270,000/month, not "a lot") Personal tone : Written as if sharing with a friend, not lecturing The winning formula? Counter-intuitive claim + Korea-spec