Use Case Landing
AI Explainer Video Workflow
An AI explainer video workflow should be narration-first. The strongest outputs come from aligning visuals to spoken beats, simplifying motion, and prioritizing comprehension over spectacle.
TL;DR: Start with narration and structure visuals around clarity, timing, and readability.
Best For
- Educational creators
- Product explainers and onboarding videos
- Instruction-heavy videos where timing and clarity matter most
Suggested Workflow
- Write the narration or script first.
- Break the script into scenes that each explain one core idea.
- Use clear compositions and restrained motion.
- Generate visuals that support spoken beats instead of competing with them.
- Review scene audio timing before final stitch.
Typical Outputs
Product explainers
Educational lessons
Onboarding videos
Tutorial content
Common Mistakes
- Using overly dense motion that distracts from spoken information.
- Generating scenes before the narration structure is stable.
- Prioritizing spectacle over readability and information retention.
Related Guides
Use these adjacent guides to tighten prompts, compare workflows, and move faster from blueprint to finished output.