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 Companion
AI Companion vs Chatbot: 9 Product Differences That Matter in Real Use
AI companions and chatbots may share language models, but they differ in identity, memory, continuity, multimodal interaction, personalization and product…
AI Companion Benchmarks: How to Evaluate Memory, Personality and Multimodal Quality
A practical AI companion benchmark framework for evaluating memory accuracy, personality consistency, conversation quality, multimodal identity and safety.
AI Companion Switching Costs: Why Relationship Continuity Can Become a Product Moat
Why accumulated memory, personalization and relationship continuity can create switching costs in AI companion products without relying on lock-in.
Real-Time Video AI Companions: The Latency, Identity and Cost Trade-Offs
Real-time video makes AI companionship more expressive, but it introduces hard trade-offs in latency, visual identity, orchestration, safety and inference…
AI Companion Memory Architecture: What Should Be Remembered, Forgotten and Summarized?
A practical guide to AI companion memory architecture: what to store, summarize, retrieve, forget and expose to users for coherent…
AI Companion Pricing Models: Subscription, Credits or Hybrid?
A practical comparison of subscription, credit and hybrid pricing for AI companion apps, including user experience, generation costs and creator…
How Multimodal Memory Could Change AI Companion Conversations
AI companion memory is moving beyond text. Learn how images, voice and video context could make persistent digital relationships more…
AI Companion Notifications: How to Re-Engage Users Without Becoming Annoying
How AI companion apps can use context, timing and relationship continuity to design re-engagement notifications that feel useful instead of…
AI Companion Retention: What Makes Users Come Back After Week One?
A practical framework for AI companion retention, covering continuity, memory, identity, novelty, trust and the transition from first-use curiosity to…
AI Companion Onboarding: How to Make the First Conversation Worth Returning To
The first AI companion conversation sets expectations for identity, memory and value. Learn how better onboarding can move users from…
AI Companion Boundaries: How Better Guardrails Create Better Relationships
Clear identity, behavioral limits and user controls can make long-term AI interaction more predictable, trustworthy and useful.