AI design prompts
AI design prompts work best when they behave like design briefs, not wishes. A useful prompt gives the model audience, mood, layout, typography, palette, visual references, constraints and QA criteria. The more design judgement you encode upfront, the less generic the output becomes.
What this means
A design prompt is not a request for decoration. It is the design layer of the task: what the page should feel like, what structure it needs, how the typography should behave and which patterns are out of bounds.
For coding agents, the best prompts include implementation constraints. A model can produce a lovely mockup and still ship poor spacing, weak mobile behaviour or impossible assets unless the prompt defines the review loop.
What to include
Include audience, product context, brand mood, page goal, visual references, typography direction, palette, layout rules, image style, motion rules and explicit anti-patterns.
A prompt like make it modern is too weak. A prompt that says editorial, high-trust, warm off-white, serif headlines, no fake dashboards, strong negative space gives the agent something usable.
Why specificity improves output
AI tools tend to average taste unless you force a sharper direction. Specificity narrows the design space and gives the agent a way to reject generic choices.
The prompt should also say what finished means: desktop and mobile screenshots, console clean, no horizontal overflow, real metadata and a ranked design QA pass.
Prompt example
Design and implement a homepage for [product].
Audience: technical founders who need credibility quickly.
Mood: precise, editorial, quietly technical.
Palette: warm off-white, deep graphite, muted teal, one sharp cyan accent.
Typography: refined serif headlines, clean grotesk body.
Layout: one strong hero idea, shallow cards, no nested panels, visible grid.
Imagery: original product-relevant visuals, no stock handshakes, no fake dashboard metrics.
QA: review desktop and mobile screenshots for hierarchy, spacing, typography, trust and generic sections. Fix before final.Common mistakes
- Using broad taste words without concrete rules.
- Supplying too many visual references without explaining what to learn from each.
- Forgetting mobile, contrast and accessibility requirements.
- Letting the agent invent fake testimonials, logos, metrics or dashboards.
- Skipping screenshot review and accepting the first plausible output.
Workflow
- Write a short design.md for the project.
- Create page-specific prompts from that design system.
- Generate or source assets with explicit constraints.
- Implement the page as real HTML/CSS/components.
- Review screenshots at desktop and mobile widths.
- Run an adversarial critique and patch the ranked issues.
FAQ
What is an AI design prompt?
An AI design prompt is a structured instruction that tells an AI tool how to create or improve visual design.
How do I make AI website designs less generic?
Give the agent specific audience, mood, palette, typography, layout rules, visual references, anti-patterns and a design QA checklist.
Should I include visual references?
Yes, but describe what to learn from them. Do not ask the model to copy protected designs or brand identities.
Can one prompt cover a whole site?
Use one site-level design brief, then create page-specific prompts for homepage, landing page, guide, pricing or product routes.