The AI Content System Behind 200M Views — Sarah Chieng, Cerebras & Cova Lee, OpenAI

Chieng and Lee start with a swipe file. When an opening makes you stop scrolling, save it while you still remember what caught your attention. Their research tools help them revisit those examples when they need an idea. A useful entry gives them something specific to borrow, such as a question worth answering or a way to show a process on camera.

For scripting, they start with their voices. Saying an idea aloud gives the script skill their phrasing and a sense of where the explanation needs work. The next artifact is a shot list. A line about how a tool works becomes a concrete recording task: capture the screen, show the action and get the result on camera.

A design system gives recurring visuals a consistent treatment. Chieng and Lee show where editing APIs and computer use fit into that process. A repeatable edit can become an instruction for the next cut, leaving the creators time to decide which take explains the idea best.

The long recording supplies material for shorter videos. Repurposing means choosing a moment that makes sense on its own and adding captions so a viewer can follow it. Scheduling then separates the moment a clip is ready from the moment it goes out.

Their weekly review asks what took too long and which recurring tasks are worth teaching a tool. The six stages give that conversation a useful level of detail: a slow shoot may need a better shot list, while a slow edit may need a reusable visual treatment. They leave the choice of what is worth saying with the creators.