𝗨𝘀𝗲𝗿𝘀 𝗞𝗻𝗼𝘄 𝗪𝗵𝗲𝗻 𝗬𝗼𝘂𝗿 𝗨𝗜 𝗜𝘀 𝗔𝗜-𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗲𝗱
Open an AI tool. Describe an app. Hit generate.
You get a working UI in seconds. It has rounded corners. It has a sidebar. It looks clean.
It feels generic.
AI tools converge on one look. They use the same defaults. They use the same blue and purple colors. They use the same grids.
Users feel it. The interface feels like a template. It shows no point of view. It tells users nobody made a decision.
This leads to problems:
- Low trust. A generic look signals a generic product.
- No identity. Nothing says who built it.
- Boring familiarity. Users have seen this layout everywhere.
This happened before with WordPress and Bootstrap. Users linked those looks to low effort.
AI is the new wave. It moves faster.
AI tools are useful for some things:
- Fast prototypes.
- Testing ideas.
- Internal admin tools.
The failure happens when you ship AI UI to customers. Trust and identity matter for consumer products.
AI misses three things:
- Detail. It optimizes for competence. It misses small decisions.
- Brand. It does not know your specific user.
- Real data. AI looks great with placeholders. It breaks with real names and long text.
Do not stop at what the tool gives you. Treat AI as a rough sketch. It finishes the first 40% of the work.
Do these things after the AI finish:
- Kill the defaults. Change the colors. Change the fonts. Change the border radius.
- Use real data. Put real names and copy into the layout. Fix the parts where it breaks.
- Add one human touch. Add a unique interaction or animation.
- Focus on trust. Fix the onboarding and error states.
AI lowers the cost of starting. But a gap exists between AI output and a trustworthy product.
Your decision to edit or ship raw says something about your product.
Do you see users react to AI UI? Or is this claim too strong?
Source: https://dev.to/olehvolos/users-can-tell-when-your-ui-was-ai-generated-and-they-dont-like-it-33kn