Product updates

Start With a Shot List, Not a Single Prompt

One of the most common mistakes when generating AI video is treating the whole project as one giant prompt. Cinematic results come from breaking a concept into individual shots first, the same way a director storyboards before filming.

Before opening any tool, write out each shot: what is in frame, the camera movement, the mood, and how long it should feel on screen. This turns a vague idea into a sequence of achievable clips.

Choosing Text-to-Video vs Image-to-Video Per Shot

Not every shot needs the same generation method. For establishing shots or abstract concepts, text-to-video often works well since you are describing a scene from scratch. For shots that need a specific product, character, or exact visual reference, image-to-video tends to give more consistent results because you are animating something you already control.

Tools like the Kling 3.0 AI Video Generator support both approaches, so it is worth deciding shot-by-shot rather than committing to one method for the entire project.

Keep Camera Language Consistent

If shot one uses a slow dolly-in, do not jump to a whip pan on shot two unless the story calls for it. Mentioning camera movement explicitly in each prompt, whether generating from text or an image, helps maintain visual rhythm across the sequence.

Assemble Before You Judge

Generate each shot separately, then drop them into a simple timeline before deciding what to regenerate. Clips that look weak alone often work fine in context, and vice versa.

Planning shot-by-shot, rather than prompt-by-prompt, is what separates a coherent AI video from a pile of disconnected clips.