How to Write AI Video Prompts That Produce Consistent Results
A guide argues that poor AI video output usually stems from vague prompts rather than weak models, since models fill any gaps with random guesses. It recommends structuring prompts like a director's shot list, answering seven questions covering framing, subject, action, setting, camera movement, lighting and style, and audio. Key advice includes limiting each clip to one action and one camera move, using concrete verbs, and specifying timing. The piece also distinguishes text-to-video prompts, which must describe the full scene, from image-to-video prompts, which should describe only the motion. Finally, it notes that Veo 3.1, Kling, and Runway each have distinct strengths and that changing one variable at a time helps refine results.
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