AI Social Match Explanations: How to Show Users Why Two People Were Introduced
How AI-native social products can explain introductions using intent, shared context and boundaries without exposing private profile data.
Personalization
AI Companion Memory Correction UX: Fixing Wrong Memories Without Resetting the Relationship
How AI companions can let users correct, downgrade and replace wrong memories without wiping an entire relationship history.
Proactive AI Companion Timing: When Should the AI Reach Out First?
How AI companions can decide when to initiate messages using context, routines, relevance and user-controlled frequency limits.
AI Social Relationship Lifecycle: From First Introduction to Persistent Connection
A product model for AI-native social relationships from discovery and first interaction through trust, continuity and long-term connection.
AI Companion Memory Write Policies: What Should Be Saved Automatically?
A practical framework for deciding which AI companion memories can be saved automatically, which need confirmation and which should never…
AI Social Discovery Safety: Ranking New Connections Without Over-Personalizing
How AI-native social discovery can rank new connections while avoiding invasive profiling, repetitive bubbles and unsafe recommendations.
AI Companion Memory Consent: Designing Temporary, Session and Long-Term Memory
A practical framework for deciding what an AI companion should remember for minutes, sessions or months—and how users should control…
AI Video State Compression: How Digital Humans Can Feel Live Without Generating Every Frame
How reusable motion states, voice timing and selective generation can reduce digital-human video cost while preserving presence.
Consent-Aware Personalization: How AI Social Products Can Adapt Without Overreaching
How AI social products can personalize recommendations, conversation and digital-human behavior while keeping consent visible and controllable.
AI Companion Memory Decay: Why Some Personalization Should Fade Over Time
A practical framework for deciding which AI companion memories should persist, weaken or expire as relationships and preferences change.
AI Social Matching Beyond Swipes: How Intent, Personality and Digital Twins Can Improve Discovery
A product framework for AI-native social matching that uses intent, personality and digital twins to improve discovery without turning social…
AI Companion Memory Portability: What Should Move When Users Switch Platforms?
A practical framework for portable AI companion memory: what users should be able to export, what should stay private, and…