The basics of
AI video prompting

Foundations · Free field guide

From one image to a finished video, the simple formula that makes it all work, and a faster way to edit.

Just the basics, to get you started. If you have two minutes, start here.

A storyboard becomes a video

01 · Start with the shortcut

Sixteen panels in one image, made with GPT Image 2.5 on ChatGPT, then turned into a full thirty-second video with Seedance 2.5 on Dreamina. The method needs only one image: the storyboard. Below, we break down the building blocks that get you here.

A 4x4 storyboard in one image: a chef carves a roast Peking duck, wraps the slices in pancakes, turns the rest into fried rice and a bone broth, and presents the full spread.
The storyboard: 16 panels in one image · GPT Image 2.5 on ChatGPT

One image in. The whole video is generated from this single storyboard image. Ideal for a quick proof of concept.

A chef presents a roast Peking duck, the opening frame of the video
The full videoSeedance 2.5 · Dreamina

Image to video

02 · Low-hanging fruit · one

The most practical method there is. Your still already does 80% of the work. It shows the subject, the wardrobe, the world. Your prompt only has to add motion and one camera move.

The source still: a man in a yellow beret eating spaghetti in an elegant restaurant, a white cat seated behind him.
The input still

Same frame brought to life using nine different camera motion terms generated with Kling 3.0 Omni.

Same still. One word each. Nine different shots. Tap any clip to play it large, then use the arrow keys to browse.

Pan left shot
Pan left
Pan right shot
Pan right
Tilt up shot
Tilt up
Tilt down shot
Tilt down
Arc left shot
Arc left
Arc right shot
Arc right
Dolly in shot
Dolly in
Dolly out reveal shot
Dolly out
Rack focus shot
Rack focus

Specifying the shot type is the single most impactful thing you can add to a prompt, and the cheapest way to learn it is to shoot the move on your phone once.

Video to video

03 · Low-hanging fruit · two

Not a filter, a rewrite. Your clip provides the skeleton: motion, timing, camera path. Your prompt provides the flesh: subject, world, style. With Gemini Omni you just say what should change, and fan one clip out into many.

The input clip
The input clip
One input, many outputs

Take one clip and keep talking to the model. Each edit below is a single sentence: the motion and camera stay identical, only what you named gets rewritten.

These six outputs have sound. Tap to play with audio.

Edit: change the location
New location
Edit: spaghetti to pizza
Swap the dish
Edit: change the setting to a train
Change the setting
Edit: to Mars eating rocks
Whole new world
Edit: swap their positions
Swap the character
Edit: bring the cat next to the man
Move a character

Same input video in every panel. The framing, camera path, the character and the world change according to how you describe it.

It all starts as a sentence.

Now the craft

Every clip above began as a few words. The prompt got smaller and the context got larger, but structure still wins. More advanced techniques need a proper creative brief and more complex prompting. To start with prompt structure, here is the formula and a quick tool to build one yourself.

The prompt formula

04 · The foundation

Structured prompts win. Six short blocks, in order. Build one below: pick or type each term, and it adds up to a ready-to-shoot prompt.

Try it · prompt constructor

Pick from a menu or type your own in any field. The prompt builds itself in the six-block order, and the final prompt is fully editable before you copy it.

This builds a single-shot, text-to-video prompt. Multi-shot scenes, image-to-video, and video-to-video each follow different rules.
01 · Camera
+
02 · Subject
+
03 · Action
+
04 · Environment
+
05 · Style & light
+
06 · Constraints
=
Your prompt (editable)

Aim for 60 to 100 words, one action, one camera move. Under 30 is under-specified. Changing a field above rebuilds the prompt.

Agentic video editing

05 · Edit by chatting

Skip the editing software. Chat with ChatGPT (Codex) or Claude (Claude Code), describe the edit, and let the agent make quick, simple edits directly. This method works for short videos.

Kaya toast dipped in soft-boiled eggs, the first of the nine Singapore favourites in the video
Nine Local FavouritesEdited in Codex
How this example was made
01 · Generate

Nine short clips, generated with Gemini Omni Flash 1.1.

02 · Edit

One quick edit by chat, done in Codex with GPT-6 Astra instead of a video editor.

03 · Voice

The voiceover, generated with ElevenLabs.

The same works in Claude Code. Keep it for short videos and simple edits.

Bring your idea to life

The craft above is just the start. The real shift is context engineering (giving the model the right context to work from), and the part that never gets automated is your direction. Hands-on training brings it to your team, and the live masterclass covers what actually works.