Progressive Disclosure
Progressive disclosure is an AI interface design pattern that presents complex AI-generated content in expandable layers, allowing users to see high-level summaries first and expand sections to view more details as needed. This UX pattern prevents information overload by initially showing concise summaries or key points, with expandable sections for deeper information. Users can click to expand sections they're interested in while keeping the overall structure visible. This pattern is essential for long-form content, reports, research summaries, and complex outputs where users need both overview and detail. It improves usability by letting users control the level of detail they consume, making complex information more digestible.
Use case
Perfect for long-form content, research reports, and complex AI outputs where users need both high-level summaries and detailed information on demand.
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Pattern Description:Real-world examples
How shipped products implement progressive disclosure — from our teardown guides.
ChatGPTChatGPT personalization UX: tone presets, memory & profile design
Personalization & memory
ClaudeClaude personalization UX: profile, memory & voice design
Personalization & memory
GrokGrok composer UX: skills, models & voice input
Design the composer
ManusManus composer UX: assign tasks, modes & agent tiers
Design the composer
ManusManus onboarding UX: role segmentation & Pro upsell
Getting to first value
ManusManus output UX: agent runs, files & deliverables
Output, artifacts & refinement
PerplexityPerplexity personalization UX: vertical profiles, response style & memory
Personalization & memory