How to Use AI-Generated UI (and Caveats)

AI-generated UI is a “design image” — it becomes production only once implemented. What AI produces is a reference for the screens, not a production-ready screen you can use in development as-is. You save the cost and time of producing screen images, but turning it into production needs implementation such as coding separately, and usability isn’t guaranteed.

I’m Naohiro Hayashi, creator of Soreda!. I built a system UI AI myself and have run it, practicing the flow of “requirements → UI design image → implement → verify.” From that experience, I’ll lay out the right way to use AI-generated UI and the caveats.

AI-generated UI is a “design image,” made production by implementation

AI-generated UI is a “design image.” Rather than a finished screen ready to use in development as-is, it becomes a working system only once implemented.

It isn’t a production-ready screen

What AI produces is a reference that shows a screen direction. The actual system is built by coding from that reference. Hold the premise that “feeding the generated screen image straight into development” isn’t completion.

A tool for “producing screen images fast”

The value of AI generation is producing screen images (references) fast, and in plural. Rather than working out screens from a blank page, you firm up a direction while looking at references. Position it as a tool that “accelerates producing screen images.”

The right way to use AI-generated UI

The right way to use AI-generated UI is to make it material for firming up the screen direction and to connect it to implementation. Let’s go in order.

Firm up the screen direction; use it to align with the developer

A generated reference works as material for deciding the screen direction internally, or for aligning understanding with the developer. Since you can show a concrete screen, your understanding aligns more easily than explaining in words alone.

Implementation (coding / building) is separately required

Turning a design image into a working system requires implementation — coding and building — separately. You can do it yourself, or commission a developer. What AI saves is the cost of producing “screen images,” not the implementation work itself.

Design and use your system UI with AI on Soreda! →

Caveats when using them

When using AI-generated UI, holding a few premises keeps you safe. Don’t over-expect; use them realistically.

Usability and results aren’t guaranteed

Making a design image doesn’t guarantee usability or results. UI is one of the factors that decide whether a system is useful, but it isn’t decided by UI alone. It’s also swayed by the quality of implementation and the fit with the actual work. Rather than assuming “this UI will be easy to use,” the stance of implementing and verifying matters.

Good UI varies by user and task

What counts as good UI varies by who uses it and what work it’s for. A screen that’s easy to use in one workplace won’t necessarily be easy in another. Compare several references, choose what fits the work of the people who’ll actually use it, and confirm in real use.

The right flow: “requirements → UI design image → implement → verify”

The right flow for putting AI-generated UI to use is “requirements → UI design image → implement → verify.” Run it in this order to make AI a realistic ally.

Organize the requirements, then design the UI

First, organize what you’ll build (the requirements), then design the UI. Making screens while the requirements are vague tends to miss the mark. How to organize requirements is covered in How to Define System Requirements with AI.

How to make the UI design

The concrete flow of designing screens from requirements with AI is covered in How to Design System UI with AI. Organize the requirements, make a design image, implement, and verify — keep this flow, and AI safely helps with building a system.

FAQ

Q. Can AI-generated UI be used in development as-is? A. No. What AI produces is a design image (a reference). Turning it into production needs implementation, such as coding, separately.

Q. Do I need a designer or coder? A. At the stage of producing screen images, you can proceed without a designer. Implementation is done by you or commissioned to a developer.

Q. Will AI-generated UI make it easy to use? A. It can’t be guaranteed. UI is one factor, and the premise is implementing and verifying it in real work.

Q. How much does it cost? A. System UI design is ticket-based, counted per run. See the official site for current details.

AI-generated UI is a “design image” — it becomes production only once implemented. You save the cost and time of producing screen images, but implementation is separately required, and usability isn’t guaranteed. With the flow “requirements → UI design image → implement → verify,” use it realistically without over-expecting. That’s the right way to make AI an ally for building a system.

Design and use your system UI with AI on Soreda! →