Generative Interfaces
Generative interfaces are user interfaces that do not rely on fixed menus or buttons, but instead generate their content and controls in real time through AI – tailored to what the user currently needs. Instead of navigating through pre-designed structures, you describe in your own words what you want, and the interface builds itself accordingly.
A classic app has fixed buttons, menus, and forms – the developer decides in advance which steps are possible. Generative interfaces work differently: the interface only comes into being the moment it is used. An AI system evaluates the user’s input and builds matching controls, texts, or forms from it – in real time, without anyone having programmed them individually beforehand. The result looks different every time, because it responds to a different request each time.
Why generative interfaces are changing how we use software
Conventional software is designed for the average user. Anyone who deviates from this path quickly runs into limits. Generative interfaces solve this problem fundamentally: the interface adapts to the user, not the other way around.
This has practical consequences. A beginner gets simpler explanations and fewer options. An expert gets direct access to the fine-tuning settings they’re looking for. Both use the same software, but see different interfaces. This kind of adaptation used to be possible only with enormous effort and remained reserved for expensive specialized products.
Moreover, the learning curve drops almost to zero. You don’t first need to understand how an app is structured. You simply describe what you want to do – similar to how you would explain a task to a person.
How a generative interface is created
In the background runs a language model – that is, an AI system that understands and generates text. It receives the user’s input and decides which building blocks the interface needs: a text field, a calendar, a table, a button. This decision is then translated into actual code, which the browser or app displays immediately. The user sees finished controls, not raw text.
A concrete example: You type into a booking system, “I need a table for four on Friday evening, preferably outside.” A generative interface then doesn’t show the homepage with all the filter options, but directly a list of matching restaurants with a pre-filled booking form. What used to take five clicks is now done in one step.
It’s important to note the difference from a simple chatbot: a chatbot responds with text. A generative interface responds with a working interface. The user doesn’t type back and forth, but instead gets something they can directly interact with.
Where generative interfaces are already appearing today
The best-known example comes from Vercel, a web development company. In 2023, it introduced a library called “AI SDK” that allows developers to build such interfaces. Microsoft is also experimenting with this in its Copilot product, reshaping parts of the Office interface depending on the situation.
In the financial industry, generative interfaces are particularly interesting. Instead of rigid dashboard templates, analysts could simply describe which metrics they want to compare – and would immediately get a matching chart in return. Several fintech startups are already working on such approaches for portfolio management and reporting.
There is also a growing area in customer service. Instead of guiding users through rigid decision trees – “Press 1 for billing questions” – the system generates an interface that matches exactly the problem the user is currently describing. This reduces frustration and the number of call transfers. Critics point out, however, that generative interfaces can also make mistakes: the model sometimes produces unsuitable or faulty controls, which would be a problem in safety-critical areas.