Why Some AI Video Prompts Work Better Than Others
Every AI video starts with a prompt, and the gap between a prompt that produces something usable and one that doesn't rarely comes down to the tool you're using. It comes down to which details you actually wrote down. Vague adjectives like "cinematic" or "high quality" don't tell a model anything it hasn't already seen attached to millions of unrelated videos during training — the words that actually change the output are the concrete, specific ones. Name the Camera Move, Not the Mood Real cinematography vocabulary works better than generic style words because it tells the model exactly what to do, not just how the result should feel. In one of the site's macro-cutting prompts, the camera direction is written the way a director would brief an actual camera operator: "100mm macro lens," "motorized slider," "5–10° tilt," "raking side light." Every one of those phrases maps to something real a camera can physically do, so the model has a specific target instead of an open-ended impression to guess at. The same logic applies to lighting. "Soft overhead key with faint side fill" tells a model where the light is coming from relative to the subject, which is what actually creates visible texture and
