The shift from functional AI to human-centric design is not just about UI polish—it requires rethinking the entire architecture. This signal explores how leading teams are moving beyond stateless API calls to build systems that understand user intent, emotion, and context. Key patterns include adding a 'context layer' between the user and the model, using feedback loops for personalization, and designing for graceful failure. For overseas developers, this mirrors trends seen in products like ChatGPT's memory feature or adaptive UIs. The original Chinese article provides a solid conceptual framework but lacks concrete code examples; our coverage will fill that gap with actionable architectural sketches.
This article argues that successful AI products must evolve from mere API wrappers to emotionally intelligent interfaces. It outlines architectural principles for embedding warmth and context into AI interactions, a key concern for modern product teams.