From Profiles to Intent Graphs: A New Model for AI-Native Social Discovery
Traditional social discovery matches static profiles. AI-native systems can instead model current intent, context and conversational signals to build a dynamic intent graph.
Traditional social discovery matches static profiles. AI-native systems can instead model current intent, context and conversational signals to build a dynamic intent graph.
A digital human can look consistent while feeling inconsistent. This framework evaluates whether text, voice, facial behavior and visual style express the same underlying identity.
AI social products feel more meaningful when the same digital personality persists over time. That requires more than memory: identity needs stable traits, evolving context, relationship history and clear boundaries.