What this case covers
The author documents the practice of using Codex to build a fact base, writing Skills, and batch content production. The article preserves the real boundaries of 100 pieces of content being redone due to audience mismatch, verification of publishing status, and feedback not yet running steadily.
Questions it answers
- Why did the completed 100 pieces of content still need to be redone?
- How can rejection feedback be distilled into writing rules?
- How should personal experience and public materials be separated?
- How can the real platform status be verified after publishing?
- How can AI iterate visual solutions on its own?
Our observations
- Choosing the right audience comes before scaling output; otherwise, rework also multiplies.
- Publishing status and market feedback are two acceptance checks beyond generation completion.
From the author
What batch production truly amplifies is not AI's capability, but the judgment a person makes before production.