Dreaming of the Helvetica of AI design systems

Building a product with AI makes implementing minimal functionality much easier. You can create a usable screen by explaining what you want and making a few modifications. However, having functionality work is different from providing good UX. To create an above-average experience, you must continuously monitor the results and refine the details.

As a result, there are many things to worry about. You want to focus on core functionality, but you have to personally handle everything from buttons and input fields to menus and notifications. In areas where you haven't paid enough attention, consistency breaks down or usability starts to decline. This is where UI libraries come in handy to help manage the quality of repetitive elements.

I used various libraries, but they differed slightly from the direction I was looking for. While the consistent rules and solid structure were good, the visual presentation and interactions sometimes felt unnecessarily strong. There were even instances where the interface itself caught the user's eye more than the tasks they needed to perform.

I believe the role of an interface is to seamlessly deliver the value a company provides to customers. It must help users achieve their goals and make important values easier to understand. While searching for a library that met these criteria, I eventually started building one myself.

Although this was something I couldn't even dare to attempt just a few months ago, the help of AI has accelerated the process of implementing and verifying my ideas. In this post, I will share the reasons and criteria behind creating the UI library and how I plan to develop it further.


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Jongmin Park
From freelancer to head of design at a unicorn startup, I've been creating impact through brand and product design for over 18 years. Currently, as CEO and editor-in-chief of Design Compass, I research design that drives business impact.

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