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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 CourseExplore the open-source course repositoryUse my 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.