What this case covers
The author started with a small sample from one book, had Codex learn from benchmark videos and connect to Feishu Bitable, and gradually got the automated generation, quality check, and data logging workflow for book videos working.
Questions it answers
- How do you get Codex to learn from benchmark videos?
- Why test with one book first?
- How is feedback written back into the workflow?
- How do you trade off speed and quality across different models?
- Which steps must be confirmed by a human?
Our observations
- Debugging with a small sample can prevent errors from being produced at scale.
- Before automating, you must first define the standard for a qualified video.
- Copy and voice directly affect the viewing experience, so human acceptance should be retained.
From the author
The results won't satisfy you right from the start, so you have to keep giving feedback.