How to Write AI Video Prompts That Actually Produce Good Results
I've been generating AI videos for a while now, running experiments across Sora, Pika, and Runway. And I've noticed something: two people can use the same model, type in seemingly similar prompts, and get wildly different results.
The difference isn't luck. It's how you write the prompt.
Instead of giving you a giant list of 100 prompts to copy-paste (that you'll never actually use), I want to share the framework I've developed for writing prompts that consistently produce good video output.
Why Most AI Video Prompts Fail
The number one mistake I see: people write prompts the way they write image prompts. But video has something images don't -- time. A picture is a frozen moment. A video is movement happening over time.
When I write a video prompt, I always ask myself three questions:
- What is moving? (If nothing moves, you get a slideshow, not a video.)
- How is the camera moving? (Static camera = boring footage.)
- What changes over time? (Light, weather, position, emotion -- something has to evolve.)
Miss any of these, and you'll get mediocre results. Nail all three, and the quality jumps dramatically.
The Framework I Use
I structure my prompts in a specific order. Not every section is needed every time, but going through this checklist has improved my results significantly:
[Who/What] -> [What they're doing] -> [Where] -> [Camera movement] -> [Visual style] -> [Mood/Atmosphere]
Let me break down why each one matters:
Subject: What's in the frame? Be specific. Not "a person" but "a young woman with short hair in a red jacket." The more detail, the more control you have.
Action: What's happening? This is the soul of video. Not "a cat" but "a plump orange cat strolling down a snowy street, snowflakes gently falling." Always write movement.
Environment: Where is this happening? Context matters. "A cozy living room with warm lamps" gives the AI completely different visual cues than "a neon-lit alley in the rain."
Camera movement: This is what separates a photograph from a film. Push in, pull out, track alongside, orbit, pan -- give the camera something to do.
Style: What should this look like? Cinematic, anime, documentary, Wes Anderson pastel symmetry -- naming a specific style or director's name gives the AI a strong template to follow.
Mood: Cozy, tense, melancholic, epic -- this ties everything together emotionally.
Before and After
Weak prompt (the kind I used to write):
A cat walking in the snow
I'd get a cat walking in the snow. Technically correct, visually boring.
Strong prompt (using the framework):
A plump orange cat wearing a red scarf, strolling leisurely on a snow-covered street. Snowflakes gently falling. Warm yellow streetlights glow in the winter dusk. Camera slowly tracks alongside the cat. Cinematic feel with soft depth of field. Cozy and peaceful atmosphere.
Same cat. Same snow. Completely different result -- because now the AI knows about the camera, the lighting, the mood, and the specific visual style I want.
The Five Elements That Level Up Any Prompt
1. Camera Movement Is Non-Negotiable
This is the single biggest upgrade you can make. Without camera movement, AI generates something that looks like a photo with a subtle shimmer. Add camera motion and it suddenly becomes footage.
The ones I use most often:
- Push in / Dolly in: Moving toward the subject. Creates focus and tension.
- Pull out / Dolly out: Revealing more of the environment. Great for establishing shots.
- Tracking / Follow: Moving alongside the subject as they move. Dynamic and engaging.
- Orbit: Circling around the subject. Cinematic and dramatic.
- Pan: Side-to-side sweep. Good for landscapes and reveals.
2. Lighting Does the Heavy Lifting
Describe the light and you describe half the mood of your video. I pay more attention to this now than I used to, and the difference is huge.
Some lighting setups I return to again and again:
- Golden hour soft light -- warm, flattering, nostalgic
- Neon reflections on wet pavement -- urban, moody, cinematic
- Volumetric light streaming through windows -- ethereal, dreamlike
- Soft overcast diffused light -- calm, natural, unobtrusive
3. Director/Style References Are Cheat Codes
If I want a specific look, I'll often reference a director's style or a specific film instead of trying to describe it from scratch.
"Wes Anderson style symmetrical composition with pastel colors" gets me much more usable results than describing "a balanced, colorful look." The AI understands these references well.
My go-to references: Wes Anderson for symmetry and color, Wong Kar-wai for urban mood and neon, Christopher Nolan for scale, and Makoto Shinkai for anime beauty.
4. Specificity Beats Length
You don't need a wall of text. You need the RIGHT words. "A narrow Tokyo side street at night with neon signs reflecting in puddles after rain" -- one sentence, incredibly vivid.
Vagueness is your enemy. "A nice-looking place" tells the AI nothing. "A cozy cafe morning with sunlight streaming through large windows and a chalkboard menu" tells it everything.
5. Iterate -- Don't Expect Perfection on Try One
This was the hardest habit for me to build. I'd type a prompt, generate a video, and be disappointed. Now I treat the first generation as a draft. I generate a few options, pick the closest one, and refine.
When something's not working, I change one element at a time. Is the motion too subtle? Increase the action. Is the mood wrong? Adjust the lighting and atmosphere description. Tweaking beats starting over every time.
Prompt Templates That Actually Work
Here are some structural formulas I keep coming back to, adapted for different types of content:
Cinematic landscape:
[Landscape/scene], [time of day], [weather], [camera movement], cinematic, [specific quality descriptors], [mood]
Example: Alps mountain range at sunrise, clouds rolling between peaks, slow aerial pullback, cinematic scale with golden light, awe-inspiring and majestic mood.
Character/lifestyle scene:
[Person description], [activity], [setting], [lighting], [camera movement], warm and inviting atmosphere
Example: A woman in her twenties reading by a large cafe window, morning sunlight streaming in, slow push-in from a wide shot, cozy and peaceful atmosphere.
Urban street scene:
[City/location] street, [time and weather], [details of the scene], [camera movement], cinematic handheld, [ambient atmosphere]
Example: A narrow Tokyo alley at night, neon signs reflected in rain puddles, pedestrians with umbrellas passing by, handheld tracking shot through the street, atmospheric and moody.
Food and detail:
[Detail of food/activity], close-up, [specific actions], warm directed light, macro lens, [sensory descriptors]
Example: Hands kneading and pulling noodles in slow motion, warm kitchen lighting, extreme close-up on the dough stretching, detailed and appetizing.
Anime/stylized:
[Scene], Makoto Shinkai style, anime, detailed backgrounds, vivid colors, volumetric light, cinematic composition
Example: Stars reflected on still water at night, a lone figure sitting at the shore, Makoto Shinkai style anime with detailed backgrounds and luminous sky.
Product showcase:
[Product], [specific camera movement around it], clean studio lighting, white background, commercial aesthetic
Example: A smartphone rotating slowly on a pedestal, clean white studio lighting with subtle reflections, orbiting camera, sleek and premium commercial feel.
Common Mistakes I Still Catch Myself Making
- No action in the prompt. The AI generates the visual equivalent of a screensaver. Always write movement.
- Forgetting the camera. If I don't specify camera movement, I get a still shot with slightly wobbly pixels.
- Giving up too quickly. My best videos came from iterating 3-4 times on the same concept.
- Contradicting myself. "Photorealistic anime scene" confuses the AI. Pick a lane.
- Too short. One-line prompts produce one-line results. Give the AI something to work with.
Platform-Specific Tips for 2026
Each video generation platform has its own quirks, and understanding these can save you significant time and frustration.
Sora
Sora excels at complex scene understanding and produces the most physically accurate motion. When prompting Sora, use natural language descriptions rather than keyword-stuffed prompts. It responds well to detailed emotional descriptions and complex spatial relationships. One weakness: Sora sometimes struggles with precise text generation in videos, so avoid scenes that require readable on-screen text.
Pika
Pika's strength lies in stylized and creative outputs. It handles abstract concepts and artistic transformations particularly well. When using Pika, lean into creative and descriptive language. It also supports image-to-video generation, so you can start with a static image and add motion descriptions. Pika tends to produce shorter clips, so plan your narrative in 4-second segments.
Runway
Runway offers the most professional-grade control, including motion brush tools that let you specify exactly which parts of the image should move. For Runway, combine broad scene descriptions with specific motion instructions. Its Gen-3 model handles realistic human motion particularly well, making it ideal for character-driven content.
Practical Workflow for Consistent Results
Here's the workflow I've settled on after months of experimentation:
- Start with the framework. Write your prompt using the six-part structure, even if it's rough.
- Be specific about camera and lighting. These two elements alone determine 80% of your output quality.
- Generate 3-4 variations. Don't settle for the first result. Generate multiple options and pick the best foundation.
- Iterate on the winner. Take your best result and refine it by adjusting one element at a time.
- Upscale and polish. Once you're happy with the composition and motion, upscale to the highest resolution available.
This workflow has dramatically reduced my "prompt roulette" frustration and given me predictable, consistent results across all three platforms.
The Bottom Line
Good AI video prompts aren't about keywords and parameter codes. They're about visual storytelling. You're directing a scene -- think about what the camera sees, how the camera moves, what the light looks like, and what the mood is.
Once I started thinking like a filmmaker instead of a prompt engineer, everything got easier.
Don't just collect prompts -- understand WHY they work. Then you can write your own for any concept.