Text-to-video models have improved faster than most people expected. A few years ago, a generated clip was a novelty: a few seconds of warped motion that nobody would put in front of a customer. Today, models such as Google’s Veo 3.1 can produce short, coherent clips with realistic lighting, believable camera movement and, in many cases, synchronised sound. The technology is good enough that the main limit on quality is no longer the model. It is the prompt.
Most disappointing AI videos fail for the same reasons. The prompt is too vague, it asks for too much in one shot, or it describes a feeling instead of something a camera can see. This guide sets out a practical way to write prompts that give you usable footage more often, whichever tool you use.
Why prompts matter more for video than for images
An image prompt only has to describe one moment. A video prompt has to describe a moment, what changes during it, and how the camera sees that change. Every extra element is another thing the model can get wrong. If you ask for “a woman walking through a busy market at sunset, talking on the phone, while the camera circles her and a dog runs past”, you are asking for four separate motions to stay consistent for several seconds. The result is often a clip where one of them breaks.
The most reliable approach is to treat each generation as a single shot in a film, not as a whole scene. Professional video is built from many short shots, and AI video works best the same way.
The five parts of a strong video prompt
A useful structure is to write your prompt in five parts, roughly in this order.
1. Subject
Start with who or what the shot is about, described in concrete visual terms. “A middle-aged chef with rolled-up sleeves and a white apron” gives the model far more to work with than “a chef”. Mention the details that must stay stable, such as clothing, colours or a product’s shape, because these are what viewers notice when they drift between frames.
2. Action
Describe one main action, using a clear verb. “Slices a lemon on a wooden board” is better than “prepares food”. If you need a second action, make it small and connected to the first, such as “then looks up at the camera and smiles”. Keep it to what could realistically happen in the length of the clip.
3. Setting and lighting
Say where the shot takes place and what the light is like. “A small restaurant kitchen, warm tungsten light, steam in the background” sets the mood without asking the model to invent it. Lighting words such as “soft window light”, “golden hour” or “overcast daylight” have a large effect on how professional the result looks.
4. Camera
Describe the camera separately from the subject. Models respond well to standard film language: “slow push-in”, “static wide shot”, “handheld close-up”, “low-angle tracking shot”. Choose one camera move per shot. Combining a pan, a zoom and an orbit in the same clip is one of the most common causes of unstable footage.
5. Style and sound
Finish with the overall look and, if the model supports audio, the sound. “Shot on 35mm film, shallow depth of field, natural colour” or “clean commercial look, bright and high-contrast” both work. For sound, describe it plainly: “quiet kitchen ambience, knife on wood, distant chatter”. If a character speaks, put the exact line in quotation marks and keep it short.
Put together, a prompt might read:
A middle-aged chef with rolled-up sleeves and a white apron slices a lemon on a wooden board, then looks up and smiles. Small restaurant kitchen, warm tungsten light, steam in the background. Slow push-in from a medium shot to a close-up. Natural colour, shallow depth of field. Sound: kitchen ambience and the knife on wood.
It is not poetic, but it is precise, and precision is what the model needs.
Common mistakes and how to fix them
Describing emotions instead of visuals. “A hopeful, inspiring scene” tells the model nothing it can render. Translate the feeling into something visible: morning light, an open window, a person standing up straight and smiling.
Overloading the shot. If a prompt contains more than one “and then”, split it into two generations and edit them together. Two clean shots are worth more than one confused one.
Leaving out the camera. Without camera direction, models often default to a slow drift that can look aimless. Even “static shot” is a useful instruction.
Changing too much between attempts. When a result is close but not right, change one thing at a time. If you rewrite the whole prompt, you will not learn which part caused the problem.
Expecting perfect text and hands. On-screen text, logos and fingers are still weak points for most models. Plan to add text in editing, and frame shots so that small details are not the focus unless you are prepared to regenerate.
A simple workflow for better results
- Write a one-sentence brief for the finished video: who it is for, what it should show, and where it will run.
- Break the brief into three to five shots, each with one subject, one action and one camera move.
- Write a prompt for each shot using the five-part structure above.
- Generate at least two takes per shot. The same prompt can produce noticeably different results, and a second take is often better.
- Review in motion, with sound. Problems with timing and movement only show up when the clip plays.
- Keep a prompt log. Record which wording produced the shots you used. Over a few projects this becomes your own style guide.
Choosing a tool
Google offers Veo through its own products, and a growing number of platforms make Veo-family models available alongside other generators. Which you choose depends on access, pricing and how you like to work. Some people prefer a focused text-to-video workspace where they can write a prompt, pick a Veo model and compare takes quickly; Flow AI on Veo3 AI is one example of that kind of setup. Others prefer to work inside a larger editing suite. The prompting principles in this guide apply in either case.
Whatever you use, check a few practical points before committing to a project: the maximum clip length, the available aspect ratios (9:16 for social, 16:9 for web and presentations), whether native audio is supported, and how credits or pricing scale with resolution and duration.
Final thoughts
The gap between an impressive AI demo and footage you can actually use is mostly a matter of discipline. Describe one shot at a time, in concrete visual language, with a single clear action and a single camera move. Generate more than once, change one variable at a time, and keep notes on what works.
None of this requires technical skill. It is the same thinking a director or cinematographer applies on a real set, written down as a prompt. As the models keep improving, that habit of clear, specific direction will remain the most valuable skill in AI video production.
