Real-Time Digital Human Latency: A Practical Budget for Voice and Video Conversation
A practical latency budget for digital-human conversations, from speech detection and model response to TTS, lip sync and video delivery,…
Ai Companion
AI Companion Onboarding: How to Make the First 10 Minutes Feel Personal
A practical framework for AI companion onboarding that earns trust, learns preferences without interrogating the user, and creates a clear…
AI Companion Re-Engagement: How to Design Proactive Messages Without Feeling Spammy
How AI companion products can use memory, timing and relationship context for proactive re-engagement without turning the companion into a…
AI Video Personalization: When a Companion Should Change Expression, Camera and Scene
A practical guide to personalizing AI companion video with expression, framing and scene changes without turning every conversation into expensive…
AI Companion Memory Confidence: How Systems Should Decide What to Remember
A practical framework for assigning confidence to AI companion memories so uncertain, stale or conflicting details do not quietly become…
AI Video Companion State Machines: Designing Idle, Speaking, Listening and Emotional Reactions
How to design low-cost AI video companion state machines for idle, listening, speaking and emotional reactions without generating every frame…
AI Companion Conversation Recovery: How to Repair Awkward, Repetitive or Off-Character Chats
A product framework for detecting and recovering from repetitive, awkward, contradictory or off-character AI companion conversations.
AI Companion Context Windows: What Should Stay in the Prompt—and What Belongs in Memory?
A practical architecture guide to deciding what belongs in an AI companion's active context, long-term memory and retrieval layer.
AI Companion Latency Budget: How Fast Should Text, Voice and Video Feel?
A practical latency budget for multimodal AI companions across text response, voice turn-taking, lip sync, video state changes and perceived…
AI Companion Memory Controls: What Users Should Be Able to See, Edit and Forget
A practical product guide to user-facing AI companion memory controls: visibility, correction, deletion, sensitivity rules, retention and trust.
AI Companion Memory Failure Modes: How to Detect, Repair and Prevent Bad Memories
A practical guide to AI companion memory failures including false recall, stale preferences, duplicate facts, over-retrieval and privacy mistakes—and how…
AI Companion Onboarding: How to Design the First 10 Conversations
A conversation-by-conversation onboarding framework for AI companions that learns preferences gradually, demonstrates memory and builds trust without interrogating the user.