Most AI apps still treat the model response as text.
That is understandable. Text is the native output format of an LLM. It is easy to stream, easy to log, easy to copy, and easy to display in a chat bubble. If the user asks for an explanation, a summary, a draft, or a piece of code, text is often the right interface.
But a lot of real software work is not just reading an answer. It is comparing options, editing fields, approving changes, inspecting data, choosing between actions, and moving through workflows. Those jobs do not become simple just because an LLM can describe them in a paragraph.
That is the gap generative UI is trying to close.
Generative UI is the practice of letting an AI system generate an interface, not just a text response, for the task the user is trying to complete. The model still reasons in language, but the product output can be a table, form, chart, card layout, confirmation step, or multi-part workflow assembled from components the application knows how to render.
