Conversation Tags & Labels
Conversation tags and labels is an AI interface design pattern that enables users to organize and categorize conversations using custom tags or labels. This UX pattern allows users to apply multiple tags to conversations, creating a flexible organizational system that goes beyond simple folders. Users can tag conversations by project, topic, urgency, or any custom category, then filter or search by tags to quickly find relevant conversations. The AI can also suggest tags based on conversation content, making organization automatic. This pattern is essential for users managing many conversations across different topics or projects, transforming chat history into an organized knowledge system.
Use Case
Perfect for professionals, researchers, and teams managing multiple projects or topics who need flexible conversation organization.
Examples in Wild
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Pattern Description:Related Patterns
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Regeneration Carousel
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Response Refinement
Modify AI responses with contextual actions
Conversation History Search
Search through past conversations
Message Pinning
Pin important messages
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