AI Video Workflows
Make short-form videos with a repeatable system: hook, scenes, prompts, edit notes, captions, and QA.
Table of contents
What this hub solves
AI video content fails when the prompt is treated as the whole process. This hub treats video as an operation: define the hook, break the idea into scenes, write visual prompts, check the output, add captions, and publish with platform-specific constraints.
Workflow map
| Step | Decision | Output |
|---|---|---|
| Hook | What should the viewer understand in 3 seconds? | One sentence hook |
| Scene plan | What must be shown, not just said? | 3-6 scene beats |
| Prompting | What subject, action, camera, and style are needed? | Scene-level prompts |
| QA | What looks fake, unsafe, or off-brand? | Reject/fix list |
| Publish | Which platform and format? | Caption, title, thumbnail notes |
Quality rules
- Use original or licensed material only.
- Mark AI-assisted visuals when the context could mislead viewers.
- Do not use brand logos, celebrity likenesses, or copied scenes in generated images.
- Keep a before/after or prompt/output note for each tutorial.
First articles
FAQ
Should video content use real product logos?
Only when it is a necessary factual screenshot or reference. Generated visuals should stay unbranded.
What is the first metric to track?
Completion of a repeatable publishing workflow matters before views. Track finished scripts, usable clips, and publish-ready posts.
Can one article become a video?
Yes. The best first workflow is to turn each tutorial into a short demo or checklist video.