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.
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.