The short answer: Use AI to explore alternatives and accelerate drafts. Keep people responsible for the problem, the selection criteria, and the experience that actually reaches users.
Generating more design options is useful. It is also a very good way to postpone making a decision. After the tenth polished concept, the important question remains: which direction helps this audience understand this business?
AI belongs in the creative process, but the process still needs a point of view. Someone has to decide what matters, what to discard, and what the finished experience should make possible.
Define the problem before exploring the look.
Consider a small service business whose visitors cannot tell which services are available in their area. A new visual style might improve the first impression, but the main design problem is information. The site needs a clear relationship between services, locations, and the next step.
A useful brief might ask for three ways to explain that relationship. One concept could lead with a location selector. Another could use service cards with visible coverage information. A third could organize the page around common customer situations.
Now AI is helping explore a decision. It is not being asked to turn “modern and premium” into a page and hope that the result solves the business problem.
Separate exploration from selection.
During exploration, encourage variation. Ask for different hierarchies, page rhythms, or ways to introduce an unfamiliar concept. Describe why each alternative might work and what tradeoff it introduces. Keep this stage cheap enough that discarding an option feels normal.
During selection, use the same criteria for every candidate. Can a visitor understand the offering? Is the next action visible? Does the tone match the organization? Does the layout still make sense when the copy is less elegant than the sample?
Write the criteria before choosing the favorite. Otherwise it is easy to invent a rationale for the prettiest output. A short decision note can record why a direction was chosen and what still needs validation.
Replace perfect sample content early.
A layout with four equal-length headlines is easy to admire. A real site has long titles, uneven paragraphs, missing images, and occasionally an announcement that takes two lines more than expected.
Test the design with those conditions while changes are still easy. For a blog, include a long article title, an article without a featured image, a category with one post, a search with no results, and a small phone screen. For a portfolio, label concepts accurately and avoid implying a measured client outcome where none is documented.
These are practical review suggestions. They help turn an attractive composition into an interface that can survive actual publishing.
Check accessibility in the page that ships.
A screenshot cannot establish how keyboard navigation works. A color palette cannot establish every text-and-background combination. Inspect the implementation, including hover, focus, disabled, and error states.
WCAG’s contrast criterion specifies at least 4.5:1 for most text and 3:1 for qualifying large text, with defined exceptions. Use the actual foreground and background values when checking. Read W3C’s explanation and exceptions.
Generated artwork also needs a purpose. If it is decorative, describing every visual flourish can add noise for screen-reader users. If it communicates information, provide an equivalent. W3C’s decision tree bases image alternatives on context and function. Use the image decision tree.
Make the handoff deliberate.
Before treating a design as ready, record the decisions that another person would need to maintain it: spacing, type scale, accent use, image treatment, component states, and rules for content. AI can help draft that documentation, but check it against the actual interface.
A compact system is often more useful than an enormous design specification. Explain what happens when a title wraps, how a link is distinguished, and which motion should be reduced when a visitor requests it.
The goal is not to prove that a person made every pixel by hand. The goal is to produce an experience with a clear purpose, honest content, and enough care that it remains useful after the initial impression.
Key takeaways
- Separate generating options from deciding which option solves the problem.
- Judge the interface with realistic content and difficult states.
- Check accessibility in the implemented page, including contrast and image alternatives.
A few good questions
Can AI design a complete website?
It can help produce layouts, copy, images, and code. Whether the result works still depends on the brief, content, implementation, accessibility, and validation with people.
Should every generated image have detailed alt text?
No. The appropriate alternative depends on the image’s purpose. A decorative image often needs an empty alt attribute; meaningful images need equivalent information.