5-Scene Shot Lists: The Easiest Way to Keep AI Video Consistent

If you’ve ever generated an AI video that looked great for one shot… then fell apart in the next, you’ve seen the core failure mode:

The model isn’t “forgetting.”

You’re asking it to invent the whole film every time you hit generate.

The fix is not a longer prompt.

The fix is a shot list.

A shot list turns “make a cool video” into “make this exact sequence of beats.”

The 5-scene template (use this for almost everything)

Pick one product, one character, one setting.

Then write five scenes that don’t require the model to improvise new facts.

1. Hook (1–2 seconds)

   • What stops the scroll?
   • Keep the framing simple: close-up, strong emotion, one clear action.

2. Problem (2–3 seconds)

   • Show the pain point visually.
   • Don’t explain. Depict.

3. Mechanism / Demo (3–5 seconds)

   • The “how it works” moment.
   • Same props, same environment, slightly wider shot.

4. Proof (2–4 seconds)

   • A before/after, result, or “day in the life” clip.
   • This is where you earn believability.

5. CTA (1–2 seconds)

   • A clean closing shot that supports one instruction.
   • Keep it brand-safe and uncluttered.

That’s it.

It’s short enough to write in 3 minutes, but structured enough to keep your outputs coherent.

Why shot lists create consistency (even with different models)

A prompt describes a world.

A shot list describes a sequence.

When you generate each scene with the same constraints (character, outfit, key props, lighting vibe), you reduce variance because the model is only solving one problem at a time.

“Same world. New camera angle.”

That’s a solvable ask.

How to write each scene prompt (without over-prompting)

For each of the five scenes, write:

• Subject (who/what is on screen)
• Action (what changes)
• Camera (close-up / medium / wide + movement)
• Environment (one sentence)
• Continuity anchors (2–3 nouns you reuse every time)

Example continuity anchors:

• “red ceramic mug”
• “silver laptop”
• “blue hoodie”

The anchors matter more than adjectives.

Practical workflow: generate → assemble → polish

1. Generate each scene as its own clip.
2. Assemble them in order (hook → CTA).
3. Add captions and music last.

If you want to keep the whole pipeline in one place (generate → edit → export), Prism is built for exactly this type of multi-clip workflow: https://www.prismvideos.com/

Common mistakes to avoid

• Introducing new characters mid-video (the model will invent details)
• Changing locations every scene (variance explodes)
• Making the CTA a completely different visual style (it feels stitched together)
• “Fixing” inconsistency with more words (you usually just add ambiguity)

A good rule of thumb

If you can’t summarize your video as:

“One character, one place, five beats.”

…it’s probably going to wobble.

Start with the shot list.

Then generate.