Outputs

Skeleton Prediction

Share

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.

Use Case

Ideal for AI applications with longer generation times where showing predicted structure reduces perceived latency and sets user expectations.

Examples in Wild

VercelNext.jsReactVue

Use this pattern in your project

Copy this prompt to generate a production-ready implementation in Cursor, Claude Code, Lovable, or any AI coding agent.

Generate a production-ready implementation of the "Skeleton Prediction" AI interface design pattern.

Pattern Description:
Interactive Demo
Restart demo
Predictive Loading State

Get new patterns by email

Weekly AI interface UX notes and resources on Substack, no spam, unsubscribe anytime.

Subscribe on Substack