AI Companion Privacy Controls: What Users Should Be Able to See, Edit and Delete
A practical guide to privacy controls for AI companions, covering memory visibility, editing, deletion, exports, consent and user trust.
AI Social Insights & News
A practical guide to privacy controls for AI companions, covering memory visibility, editing, deletion, exports, consent and user trust.
Why accumulated memory, personalization and relationship continuity can create switching costs in AI companion products without relying on lock-in.
A practical guide to AI companion memory architecture: what to store, summarize, retrieve, forget and expose to users for coherent…
AI companion memory is moving beyond text. Learn how images, voice and video context could make persistent digital relationships more…
How AI companion apps can use context, timing and relationship continuity to design re-engagement notifications that feel useful instead of…
A practical framework for AI companion retention, covering continuity, memory, identity, novelty, trust and the transition from first-use curiosity to…
The first AI companion conversation sets expectations for identity, memory and value. Learn how better onboarding can move users from…
Clear identity, behavioral limits and user controls can make long-term AI interaction more predictable, trustworthy and useful.
AI roleplay focuses on scenarios and character performance; AI companions focus on continuity and relationship. Learn where the two overlap…
Personalization should make an AI relationship more relevant without turning its personality into a mirror of every user. Learn how…
A practical guide to choosing an AI companion with video interaction, including memory, multimodal chat, personalization, privacy, and creator-powered experiences.
Long-term memory is one of the biggest differences between a one-off chatbot session and an AI relationship that feels continuous.…