AI Video Prompt Basics: 6 Parts Sora, Veo, Kling Need

The 6 components every AI video prompt needs — written for Sora, Veo, Kling, Runway, and the rest.

What this tutorial solves

AI video prompts that read like image prompts produce static-looking clips. Video needs motion language, camera language, and time language — three things image prompts don’t have.

Who this is for

Anyone using Sora, Veo, Kling, Runway, Pika, or any modern AI video model.

When to reach for it

Any time you need a usable clip — not just a “demo this tool” experiment.

When this is NOT the right tool

Pure exploration where you want surprises; long-form narrative video (still beyond AI as of mid-2026).

Step by step

  1. Subject + action (the verb matters most): “A red fox WALKING across a meadow” — not “a red fox in a meadow”.
  2. Camera movement: “static shot”, “slow dolly forward”, “low aerial drift left”, “handheld follow”. Camera language is the biggest “AI vs amateur” giveaway.
  3. Duration / time direction: “5 second clip, single continuous take, subject moves into frame at 1s”. Some tools accept temporal cues.
  4. Lighting + style: “golden hour, warm rim light, slight haze, film grain”.
  5. Motion strength: most tools have a knob. Higher = more change. For locked-down product shots, low motion strength.
  6. Composition: “wide shot, subject lower right, leading space to left of subject for it to walk into”.
  7. Generate, watch for: motion drift, identity drift (subject changes mid-clip), camera glitches. Re-roll if any are present.

A 5s product b-roll: subject + action + slow dolly + soft window light + 5s + medium motion → 3 generations → 1 usable → trim to 3s.

Common mistakes

  • Writing a paragraph. Most video models start ignoring after 60-80 words.
  • Asking for “cinematic” without specifying camera. Get random “cinematic-looking” defaults.
  • High motion strength + long clip + complex subject = drift soup.
  • Treating the first generation as final. Video has higher reject rates than image.

Advanced tips

  • For a series of clips, keep camera language consistent across them. The “edit” feels much smoother.
  • For subject continuity across clips, image-to-video from a reference image works better than text-only.
  • Save successful prompts as templates. Same structure, swap variables.

Copy-ready prompt

Subject: {one thing}
Action: {single verb / motion}
Camera: {static / dolly / pan / aerial}
Duration: {seconds}, single take
Lighting: {direction + mood + atmosphere}
Motion: {low / medium / high}
Composition: {framing + subject position + breathing room}

Practical depth notes

For AI Video Prompt Basics: 6 Parts Sora, Veo, Kling Need, treat the workflow as a small controlled run before trusting it on real work. Start with one representative input, define what a good result must include, and keep the original beside the AI output so you can see what changed. The model should explain tradeoffs, assumptions, and weak spots instead of only producing a cleaner-looking answer.

The safest review pattern is: run once for structure, once for quality, and once for risks. Check facts, names, numbers, links, file paths, and commands manually. If the output affects users, money, legal terms, production code, or published claims, keep a human approval step even when the draft looks confident.

FAQ

  • Best AI video tool?: Depends. Sora / Veo for prompt-following + quality; Kling / Pika for accessibility; Runway for editor integration. Test on your style.
  • Why does my clip glitch at the end?: Models often degrade in the final second. Generate longer than needed and trim the tail.

Tags: #Tutorial #Video generation #Prompt