Skeleton prediction is an AI interface design pattern that displays a loading state showing the predicted structure of the final content, giving users a preview of what's coming. This UX pattern uses AI to predict the layout, structure, or format of the response and displays a skeleton or placeholder that matches the expected output. For example, if generating a table, the skeleton shows table rows; if generating a list, it shows list items. This pattern reduces perceived latency by giving users immediate visual feedback about the content structure, making wait times feel shorter and more informative. It's essential for AI applications where response generation takes time and users benefit from understanding what type of content is being created.
Ideal for AI applications with longer generation times where showing predicted structure reduces perceived latency and sets user expectations.
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