Video-to-prompt reverse engineering guide
When you see an AI video clip you love, the fastest way to recreate the look is to break it into the same components a prompt is built from: camera movement, subject, lighting, motion type, and style. This guide gives you a structured checklist and assembles your observations into a clean, recreatable prompt you can paste into Runway, Kling, Sora, or Luma and iterate on.
How it works
Reverse-engineering is observation in a fixed order. Camera movement comes first because it frames everything — a slow push-in feels nothing like a handheld orbit. Next, the subject and action: one clear sentence of what’s there and what it does. Then lighting (quality, direction, color temperature, contrast), which carries most of the mood. Motion type distinguishes ambient drift from deliberate action. Finally style — film stock, grade, lens, era. The builder joins these in the order video models parse best, so the result reads like a purpose-written prompt rather than a list of guesses.
Tips for closing the gap
- Camera first, always. If the recreation feels wrong, it’s usually the camera move, not the subject.
- Be specific about light. “Soft warm window light from the left, low contrast” beats “nice lighting” by a mile.
- Separate ambient from deliberate motion. Drifting smoke is ambient; a person turning is deliberate — name which you see.
- Iterate on one variable. Once you have a draft prompt, change a single element per generation so you can tell what moved you closer.