HowI Build

You might think these screens are randomly generated, but they are not. They are deliberately designed by the design agent, using a design infrastructure behind the scenes. Let me show you a real-world example. This gives an advantage not only to a design agency or a product company, but also to the individual working on the project. They give raw input to the system, and it is converted into a design brief. That brief is understood not only by the agent but also by the human, because it started as a draft, became an open proposal, and was then reviewed and validated by a human. From that point on, every step the agent takes follows that validated direction. This gives a second advantage: the company or agency can create multiple artifacts from the same design brief, or from the problem they are trying to solve. And we do not stop there. Designers always want freedom, so these screens are editable, not flat images. You can apply color, change the icon, change the structure, and edit whatever you believe needs changing. The values come from your design tokens, whether they come from a Figma library, from another tool you use, or directly from the repository you already have in production. The tokens are dynamic, so you can change them, and you can even convert the result into code easily using other AI tools.

Design variation is also a moat. A design agency or a product company creating designs has its own taste, and that taste is very hard to replicate. Even within one team, each person's taste differs from the others'. I experienced this myself while building this. It was not easy to get this level of consistent, predictable output from an AI agent. It is hard, and it took real effort to get here. That is why this can be a moat for any design agency or product company that wants to use taste to design something.