The AI Content System Behind 200M Views — Sarah Chieng, Cerebras & Cova Lee, OpenAI
Sarah Chieng (head of developer experience at Cerebras) and Cova Lee (OpenAI developer experience, formerly a full-time creator) share the agent-powered system they use to make content.
Proof1 independent outlet
Key points
- It runs across six stages: ideating, scripting, recording, editing, repurposing and publishing.
- They also cover cutting long videos into shorts, scheduled publishing, and a weekly skill that reviews your own process.
- Their main point: let AI take the tedious work so you can treat content as a craft, not make slop.
- 05:19 Ideation: swipe files and research tools
Sources (1)
- [1]The AI Content System Behind 200M Views — Sarah Chieng, Cerebras & Cova Lee, OpenAIAI Engineer (YouTube) · Oct 21, 11:00 PM
Sarah Chieng (head of developer experience at Cerebras) and Cova Lee (OpenAI developer experience, formerly a full-time creator) share the agent-powered system they use to make content.
It runs across six stages: ideating, scripting, recording, editing, repurposing and publishing.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 21, 2026How AT&T is rethinking in-house legal work with OpenAI
- Oct 21, 2026OpenAI Frontier Models Arrive on Google Cloud and Model Garden
- Oct 20, 2026Voxtral 3
- Oct 20, 2026[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
- Oct 20, 2026Do Diffusion LLMs Scale? Testing Mercury 3 + Decide
- Oct 20, 2026OpenAI acquires Orchestra Bio



