I used to think the secret to better AI video was writing longer prompts.

This project changed how I approach prompting.

I took one of my actual Seedance 2.5 prompts and broke it apart. What looked like one detailed prompt was actually several different shots, camera movements, actions, and cinematic directions competing for the model's attention.

So I started treating AI video prompts more like shot direction:

SHOT → SUBJECT → ACTION → ENVIRONMENT → CAMERA → MOTION → LOOK → CONSTRAINTS

In this walkthrough, I show the real process, including how I structure the prompt, generate the scene, identify what isn't working, and refine the instructions.

The lesson is simple:

Don't make the prompt longer. Make the instructions clearer.

Think like a director, not a novelist. https://share.descript.com/view/iYh2ZNB0bt1 https://web.descript.com/3c176614-948b-4aad-81d8-392fd2c09c2d

This is Great! Can I DM you if I need help pls?

I built a simple workflow for creating consistent AI characters while saving time, money, and generations.

Watch the finished video: View the final video

I start by creating a character in Midjourney, then refine it in Nano Banana and create a character sheet with different poses and angles.

The key step is using that character sheet together with the visual style and environment from my original Midjourney image. Instead of generating each shot individually, I ask Nano Banana to build a 3x3 grid containing nine different shots of the same character within the same environment. With a detailed prompt, I can define the framing, composition, and action for all nine shots in a single generation.

I can then extract the individual frames from the grid simply by asking Nano Banana to separate them. Finally, I use the most suitable frames as starting frames in tools like Kling or Veo to animate the shots and build the final sequence.

The idea is simple: instead of generating 150 images and throwing most of them away, I create a visual system first and generate multiple usable shots at once. It saves generations, reduces costs, and gives me much more consistency and control over the final video.