Turn TikTok winners into a repeatable commerce workflow
Clipcat handles video understanding and rendering. Codex orchestrates prompts, rewrites scripts, validates copy, and exports production-ready tables.
1. Give each tool a clear job
Think of Clipcat as the production engine and Codex as the project manager.
| Module | What it does |
|---|---|
| Clipcat Skill | Parses links, extracts hooks, remixes structures, renders video, and creates commerce imagery. |
| Codex | Loops products, rewrites scripts, generates variants, checks policy language, and exports CSV. |
2. Prompts you can paste today
Analyze this TikTok URL with Clipcat and return the 3-second hook, voiceover, shot list, product angle, and CTA in a table.
Use my product image and the winning structure. Render a 15-second, 9:16 UGC video with conversational English and auto captions.
Create 12 English hook variants in pain, question, suspense, and contrast.
3. Scale with a product CSV
Prepare product.csv with image URL, benefit, and reference video. Have Codex call Clipcat for every row and write output.csv with video URL, script, hook, and review status.
For post-production use the AI caption generator; compare engines in video generation models.
4. Review before publishing
- Use a clean white-background PNG.
- Recreate voiceover instead of copying source audio.
- Verify product shape, claims, captions, and restricted words.
- Keep API keys in local environment settings.
FAQ
Is this beginner-friendly?
Yes. Start with natural-language prompts, then move to CSV batching.
Can I produce multiple versions?
Yes. Generate variants in Codex and render each cut in Clipcat.
Last updated September 4, 2026