How to write AI video prompts that actually work

Most AI video prompts fail for the same reason: they describe a vibe instead of a shot. "A beautiful sunset video" gives the model nothing to work with, so it invents everything — and you get generic footage that looks like everyone else's. A good video prompt reads like directions to a cinematographer: who is in frame, what they are doing, how the camera moves, what the light looks like, and what the final output should be.

The six parts of a strong video prompt

Every prompt in the library above follows the same structure. Use it as a checklist when you write your own:

  • Subject: who or what is in the frame. Be concrete — "a barista in her 20s pouring latte art" beats "a person making coffee."
  • Action: what happens, in order. AI video models handle one or two actions well; three or more and the motion falls apart.
  • Camera: the shot type and movement — close-up, drone shot, slow push-in, handheld. This is the single biggest lever for cinematic results.
  • Lighting and mood: golden hour, neon night, soft window light. Name the mood explicitly — models respond well to words like "moody," "playful," or "documentary."
  • Style: photorealistic, anime, 35mm film, 3D render. If you skip this, the model picks a default look that may not match your project.
  • Technical specs: duration, aspect ratio (9:16 for TikTok/Reels, 16:9 for YouTube), and frame feel ("24fps film look").

Match the prompt to the tool

Different generators have different strengths, and your prompt should play to them. Runway and Luma handle camera language best — write detailed camera directions for them. Pika and PixVerse are strong on stylized, playful motion, so lean into effects and energy. Veo produces the most realistic footage, which makes it ideal for macro shots, lighting shifts, and anything that needs to look like real camera footage. For talking-head and portrait animation, always start from a real photo (image-to-video) rather than text — the likeness and facial structure stay far more consistent.

Common mistakes to avoid

  • Too many actions in one prompt. "She walks in, sits down, picks up the phone, and waves" will confuse the model. Split complex scenes into separate 5–8 second clips and edit them together.
  • Contradictory directions. "Slow motion but fast-paced" or "dark but bright" forces the model to guess. Pick one.
  • Ignoring aspect ratio. A prompt written for widescreen will get awkwardly cropped if you render 9:16. State the ratio in the prompt itself.
  • Forgetting the hook. For TikTok, Reels, and Shorts, the first 1–3 seconds decide everything. Put your most striking visual or motion at the very start of the prompt — don't "build up" to it.
  • Over-describing faces. Long lists of facial features often produce uncanny results. Describe the person briefly, then focus on action, light, and camera.

Talking-head and UGC videos

AI talking-head clips work best when you keep motion subtle. Big gestures and rapid head turns are where artifacts show up first. Generate the visual silently, then add your real voiceover or a text-to-speech track afterward — this two-step workflow looks far more natural than asking one tool to do both. If you need lip movement, generate the avatar first and run it through a dedicated lip-sync tool rather than expecting the video model to nail mouth shapes.

Cinematic text-to-video

For film-style shots, think like a director: name the lens ("35mm," "anamorphic"), the light ("golden hour backlight," "neon reflections in rain"), and the camera path ("slow push-in," "orbital sweep"). Temporal words matter too — "timelapse," "slow motion," and "dusk turning to night" tell the model how time should behave in the shot. One well-described 8-second clip beats a vague 30-second ramble every time.

Start with the prompts above, replace the bracketed parts with your own details, and iterate. The fastest way to get better is to change one element at a time — same prompt, different camera move — so you learn what each model actually responds to.