Multimodal AI Personality Sync: Keeping Text, Voice, Images and Video in Character
How multimodal AI products can keep one coherent personality across text, voice, images and video instead of feeling like four…
AI Social Insights & News
How multimodal AI products can keep one coherent personality across text, voice, images and video instead of feeling like four…
A practical framework for assigning confidence to AI companion memories so uncertain, stale or conflicting details do not quietly become…
A framework for versioning digital human appearance, voice, personality and memory while preserving a stable identity for users and creators.
How to design low-cost AI video companion state machines for idle, listening, speaking and emotional reactions without generating every frame…
A product framework for detecting and recovering from repetitive, awkward, contradictory or off-character AI companion conversations.
A practical architecture guide to deciding what belongs in an AI companion's active context, long-term memory and retrieval layer.
A launch-ready evaluation framework for AI personalities covering voice, values, boundaries, memory, emotional range, multimodal identity and regression testing.
A practical latency budget for multimodal AI companions across text response, voice turn-taking, lip sync, video state changes and perceived…
A practical product guide to user-facing AI companion memory controls: visibility, correction, deletion, sensitivity rules, retention and trust.
A practical guide to AI companion memory failures including false recall, stale preferences, duplicate facts, over-retrieval and privacy mistakes—and how…
A conversation-by-conversation onboarding framework for AI companions that learns preferences gradually, demonstrates memory and builds trust without interrogating the user.
A product architecture guide to combining pre-rendered video states, TTS, lip-sync and real-time generation for expressive AI companions without runaway…