
Most people write AI prompts like they're ordering coffee: "A beautiful sunset." The AI obliges — and gives you a generic, forgettable sunset that looks exactly like every other AI sunset.
The difference between mediocre AI visuals and stunning ones isn't the model — it's the prompt. Prompt engineering is the single highest-leverage skill in AI content creation.
A professional prompt has five layers:
Be specific. Not "a person" — "a woman in her 60s with silver hair pulled back, wearing a weathered leather apron, hands covered in clay."
What's happening? "She's looking down at a pottery wheel, mid-throw, focused expression, motion blur on the spinning clay."
Set the scene. "Sunlit pottery studio, dust motes floating in shafts of afternoon light, shelves of unfinished ceramics in the background."
Camera and lighting details. "Shot on 85mm f/1.4, shallow depth of field, warm golden hour lighting, cinematic color grading, 8K resolution."
Art direction. "In the style of atmospheric documentary photography, muted earth tones, film grain."
Combined: "A woman in her 60s with silver hair pulled back, wearing a weathered leather apron, hands covered in clay, looking down at a pottery wheel mid-throw, focused expression, motion blur on spinning clay. Sunlit pottery studio, dust motes in afternoon light. Shot on 85mm f/1.4, shallow depth of field, golden hour lighting, cinematic color grading, 8K. Atmospheric documentary style, muted earth tones, subtle film grain."
This is a prompt that produces. Let's break down why.
Tell the model what you DON'T want. This is just as important as what you DO want.
Negative: "plastic skin, oversaturated colors, symmetrical composition, artificial lighting, CGI look, perfect faces."
When generating with Domer AI Image Generator or GPT Image 2, use negative prompts to eliminate common AI tells.
Reference specific artists, films, or photographers to anchor the aesthetic. "Wes Anderson color palette" immediately communicates symmetry, pastels, and whimsy. "Roger Deakins lighting" signals naturalistic, motivated light sources.
Don't expect perfection on the first try. Professional prompt engineers:
Domer Text-to-Image makes this iteration fast and affordable.
When you find a composition you like, lock the seed number. Then modify only specific elements while keeping the overall structure. This is how pros achieve consistency across a series.
Video prompts add a temporal dimension. You need to describe movement, pacing, and camera work.
Example: "Slow dolly-in on a steaming coffee cup on a windowsill during rain. Raindrops on glass, steam rising gently. Camera moves from wide shot to extreme close-up over 5 seconds. Cinematic, moody lighting. Shot on 50mm lens."
For video, use Domer AI Video Generator with models like Kling 3.0 for realistic physics and Seedance 2.0 for human movement.
Too vague: "Make it look cool" means nothing to an AI.
Too contradictory: Asking for both "photorealistic" and "anime style" in the same prompt confuses the model.
Wrong aspect ratio: Generating wide compositions when you need vertical for TikTok. Specify your ratio: "--ar 9:16" or "vertical format."
Ignoring the model's strengths: Each model has sweet spots. Kling 3.0 excels at environments and physics. Seedance 2.0 is king of human motion. Match your prompt to the model's strengths.
Take one object (a chair, a tree, a coffee cup) and write 10 completely different prompts for it. Change the lighting, the context, the style, the era. This exercise alone will level up your prompt engineering more than reading 20 articles.
Start practicing at Domer AI Tools with access to multiple models for experimentation.

Alexander
Vidu Q4 alternatives compared: Kling 4.0, Seedance 2.5, Wan 3.0, and Runway Gen-4 — 4K support, input modes, durations, audio, and what each costs in credits on Domer.
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Nano Banana 2.1 vs GPT Image 2.5 Flare compared: credit costs per resolution, aspect ratios, reference images, text rendering, and which tasks fit each model.