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Codex Automated Editing from 0 to 1: Letting AI Produce E-commerce Videos in Batches

From zero to oneAutomated editing workflow
Batch productionStandard actions handed to AI
Human quality checkContent judgment retained
01

What this case covers

The author breaks down the Codex automated editing workflow, from reference video shot breakdown, material matching, voiceover and subtitles to Jianying drafts, increasing daily output from 6 videos to 30.

02

Questions it answers

  1. Which videos is automated editing suitable for?
  2. How are reference videos broken down into shot structures?
  3. How can the material library improve matching rates?
  4. Why still generate Jianying drafts that can be manually modified?
  5. How to encapsulate the process into a Skill?
03

Our observations

  1. Only after clarifying the "batch production" positioning can reasonable quality standards be set.
  2. Material library quality determines the upper limit of automatic matching.
  3. The value of a Skill is turning feedback into rules for the next automatic execution.
04

From the author

The positioning of this workflow is automatic production, not premium creation.
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