video1.0<iframe src="https://www.loom.com/embed/db3357f8901940e6bdfd666d999c4f69" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/db3357f8901940e6bdfd666d999c4f69-9b051226fa20d610.gif584.590079This Loom explains a scalable AI pipeline that allows one operator to generate multiple short form content channels at once. It automates the full workflow from research and Gemini-based script generation, to ADS TTS voice MP3 creation, stock asset selection, video composition using MoviePy, and final export with captions, metadata logging, and database outputs. The project includes a main orchestrator (artistration.py) that runs the end to end pipeline and a page learner feature for batch processing across multiple JSON-defined channels with different IDs, niches, and voices. The author notes local execution as a working prototype that can scale to a production system and mentions generation time of about 5 to 10 minutes per run.