Your AI-Built App Works. Why Does It Still Feel Amateur?

Most AI-built apps feel amateur for two reasons: they try to do too much, and they look like every other AI-built app. Fix them in that order. First make the product easy to understand — one clear job, fewer features. Then give it a structure and a visual system that belong to your product, not to the tool’s defaults.

Tools like Lovable, Cursor and Bolt changed what a founder can build alone. In an afternoon you can have screens, a database and a login. That’s real progress. But a working prototype and a product people trust are not the same thing.

Even the tool makers say so. On October 27, Bolt published a guide to the AI development lifecycle with a section called “Why design systems are the workflow gap most AI tools still ignore.” Without one, they write, generated UI ignores your spacing rules, component variants and accessibility patterns.

Users notice. When a founder shared a trip-planning app on Hacker News last week, one of the first comments was: “Did you use an AI software for the design?” The founder said yes, and that the colours looked “LLMy”.

What we see when founders bring us an AI-built prototype

The prototypes that founders bring to Grona look almost the same. Similar cards, similar gradients, similar dashboards, similar onboarding. The details change; the feeling doesn’t.

Most founders don’t see this — and that’s not a criticism. Telling a good interface from a weak one takes a trained eye: years of looking at hundreds of products and noticing why some feel clear and others feel off. That’s a designer’s job, not a founder’s. If the app works and looks “modern”, it’s natural to think it’s done.

This trained eye is what separates an expert from an amateur. A designer looks at an AI-generated screen and sees the crowded layout, the unclear hierarchy, the generic styling. A founder who has never had to judge interfaces sees a working app. Neither is wrong: they are simply looking with different experience. That is why we don’t ask founders to “just notice” the problems. We point them out, show why they matter to a user, and agree together what to fix first.

Why AI-built apps feel amateur

1. They do too much

AI makes adding a feature almost free. One more prompt, one more screen. So prototypes grow sideways: a dashboard, a settings page, a chat, notifications, an analytics tab — before anyone has answered what the one main job is. The result is a product that is hard to explain and harder to use.

2. They look like everyone else

AI tools generate from the same patterns and defaults. That’s why so many prototypes share the same visual language. Nothing is wrong with it on its own, but it says nothing about your product — and some users do spot it, as the Hacker News comment above shows.

3. Every screen is designed on its own

Each screen is generated in a separate request, so nothing quite matches: three button styles, two card styles, spacing that changes from page to page. Users rarely name it. They just feel the product is less trustworthy.

4. They only show the happy path

Prototypes show what happens when everything goes right. Real users find everything else: the empty list on day one, the slow connection, the wrong input, the expired session.

What to fix first

We fix AI-built prototypes in this order. Each step makes the next one cheaper.

Step 1. Make the product understandable

• Write one sentence: who it’s for and what it helps them do. If you can’t, the app can’t either.

• Pick the core task — the one thing a user must be able to do in the first session.

• Make a cut list. For every feature, ask: does it help the core task in the first month? If not, hide it or remove it. This is the hardest step, because AI makes building feel free. Every extra feature still costs attention.

Step 2. Give it a structure

• Navigation that matches how users think about the task, not how the prompts were written.

• One clear flow for the core task, start to finish.

• Every main screen designed in four states: empty, loading, error and full.

Step 3. Build a visual system that’s yours

• Decide colours, type, spacing and components once, and use them everywhere.

• Choose a few deliberate details that make the product recognisable — not decoration, but character.

• Check contrast and tap targets so the app works for everyone.

Step 4. Watch real people use it

Give five people the core task and watch without helping. Where they hesitate is where to work next. Five is a practical starting point, not a guarantee you’ll find everything.

AI prototype vs. a product people trust

What to do this week

1. Write your one-sentence promise and your core task.

2. List every feature and mark what the core task really needs in the first month.

3. Screenshot every screen and put them side by side. Count the button and card styles.

4. Open each main screen with no data and with no connection. Note what breaks.

5. Watch five people try the core task.

FAQ

Do I need to rebuild my AI-built app from scratch?

Usually not. Most of the work is deciding what the product should be and do, then applying a consistent structure and visual system. How much code changes depends on how the prototype was built.

Can’t I just write better prompts?

Better prompts help with consistency, especially if you give the tool your components and rules. They don’t decide which features to cut or what makes your product different. Those are product decisions.

When should I bring in a designer?

Before you show the product to paying users or investors, and before you add more features. Design is cheapest when it shapes what you build next, not when it repaints what already exists.

How long does it take?

It depends on scope. Our typical engagement is about 3–4 weeks, with pricing set individually.

For examples of how we turn a rough idea into a clear product, see our work for Movin (a stress-free moving aggregator), Ghost Social (a voice-first networking redesign) and Wheel (a soft-skills job-matching platform).

If you have an AI-built prototype and you’re not sure what to fix first, book a free 30-minute Product Diagnosis. We’ll look at it together and tell you where we’d start. Or see how we approach product design for startups.