The Anatomy of a Cinematic AI Video Prompt (a 7-Block Structure)
Article summary
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If you've generated AI video, you've felt the randomness: one prompt returns something gorgeous, the next — barely reworded — returns mush. The usual reaction is to add more adjectives. That rarely helps, because the problem isn't quantity of description. It's structure . Here's a way to think about a text-to-video prompt as a structured object with seven fields, not a blob of prose. Structured prompts are reproducible and, more importantly, debuggable . The seven blocks [shot type] of [subject…
1Key Takeaways
- If you've generated AI video, you've felt the randomness: one prompt returns something gorgeous, the next — barely reworded — returns mush.
- The usual reaction is to add more adjectives.
- That rarely helps, because the problem isn't quantity of description.
- Here's a way to think about a text-to-video prompt as a structured object with seven fields, not a blob of prose.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that if you've generated AI video, you've felt the randomness: one prompt returns something gorgeous, the next — barely reworded — returns mush.
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