Personalization
Grok provides personalization settings that allow users to customize their AI experience, including conversation preferences, response style, and contextual behavior settings.

Personalization settings interface
What's happening
Grok offers personalization settings that enable users to customize how the AI behaves and responds. The interface provides options for adjusting conversation style, response preferences, and contextual behavior to create a tailored AI experience.
Patterns
Interface for customizing AI behavior, conversation style, and response preferences
Settings organized into clear categories with explanations
UX Insights
- •Personalization treated as a core feature for tailoring AI experience
- •Settings allow users to customize conversation style and response format
- •Configuration options provide granular control over AI behavior
- •Interface maintains consistency with Grok's overall design language
- •Settings persist across conversations for consistent experience
Design Decisions
Grok's personalization interface enables users to customize their AI experience to match their preferences and use cases. By providing granular control over conversation style and behavior, Grok positions itself as a customizable AI assistant that adapts to individual user needs.
More case studies

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ChatGPT separates AI behavior customization from technical settings. Users pick named tone presets, fine-tune characteristics, declare profile fields, and manage inferred memories with search, deprioritize, and version restore.

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Personalization & memory
Claude shapes behavior through natural-language profile instructions, opt-in chat memory under Capabilities, cross-platform memory import, and named voice style presets.

Model Switcher with Hierarchy
Claude implements a tiered model selection system that balances simplicity with power user needs. The main dropdown presents three current models with clear use-case descriptions, while a "More models" submenu provides access to legacy versions.