# How I Automated 90% of My YouTube Workflow > Source: > Published: 2026-07-28 21:40:56+00:00 Member-only story Featured # How I Automated 90% of My YouTube Workflow ## How I automate research, writing, visuals, and titles while keeping the thinking human I can now research, write, and prepare a full YouTube release in about five hours of my own work. The same job used to consume two or three full days. I did not get there by asking one model for a script and publishing whatever came back. Paul Iusztin, the Towards AI team, and I built a pipeline that gives specialized agents the repetitive translation work while keeping the thinking in human hands. If you want to build or inspect the system, start here: [Take the Agentic AI Engineering Course](https://academy.towardsai.net/courses/agent-engineering?ref=1f9b29)[Explore the open-source course repository](https://github.com/towardsai/agentic-ai-engineering-course)[Use my AI Engineering Cheatsheets](https://github.com/louisfb01/ai-engineering-cheatsheets) This article explains the full architecture: how Nova researches, how Brown writes without turning everything into generic AI prose, how parallel workers produce branded visuals, how an expand-and-narrow loop generates titles, and why the most important part of the system is the 10% I refuse to automate. Prefer to see the pipeline and diagrams in motion? Watch the complete walkthrough here, then use this article as the technical reference.