After generating hundreds of AI videos, I noticed something that was killing my results — each tool expects a completely different prompt structure.
Here's what I found:
**VEO 3** works best with natural, cinematic language:
"A woman walks through a rainy Tokyo street at night, neon reflections on wet pavement, slow tracking shot, melancholic mood"
**Kling 2.0** performs better with structured parameters:
"[Woman] [walking through rainy street] [Tokyo, neon lights, night] --style cinematic --camera tracking --duration 5 --ar 9:16"
**Runway Gen-4** responds well to motion-first descriptions:
"Camera tracks forward behind woman walking, rain falling, neon light reflections, wet pavement, slow motion, Tokyo night"
Same scene. Three completely different prompts. And they all produce noticeably different results if you use the wrong format.
This is the biggest mistake I see beginners make — copy-pasting the same prompt across tools and wondering why results are inconsistent.
Some other differences I noticed:
- Pika responds better to short, punchy style tags
- Midjourney needs frame-by-frame descriptions for video consistency
- VEO 3 handles dialogue and voiceover hints better than the others
Once I started formatting prompts correctly per tool, my output quality jumped significantly.
Anyone else noticed this? Would love to hear what prompt structures are working for you.
(For context: I built a tool that auto-formats scripts for each tool — happy to share if anyone's interested)