UX Interaction Paradigms in the AI Era (7 Types: AI Embedded in Traditional UI / Agentive / Conversational / Human-in-the-Loop / Hyper-Personalization / Multi-Modal / Trends)
A "panoramic map of AI interaction paradigms" for AI product PMs, reorganizing the will-design-notes design resource section into 7 paradigms: ① Conversational (linear Q&A, the ChatGPT paradigm, the starting point of the AI revolution) ② AI in old UI (attaching AI to familiar interfaces such as Word/Notion/Figma/Linear, including 6 sub-types: natural language search / referencing to build trust / context-bound preset buttons / flexible batch document extraction / infinite canvas / non-linear conversation) ③ Agentive UX (AI works silently in the background, including 4 sub-types: you complete me intelligent completion / you surprise me proactive prediction / you exist invisible learning / you assist me returnable control) ④ Human in the loop (highlighted text / highlighted visuals / collaborate with me / real-time generation while thinking, AI acts as a partner not a domineering boss) ⑤ Hyper personalization (aiOS conversational operating system / AI as a product standalone hardware Rabbit R1 · Humane Pin) ⑥ Multi-modal (6 natural inputs: shoot / write / see / listen / draw / move, replacing precise prompts) ⑦ Trending (the interface evolution history from CLI→GUI→conversational→intent-driven + 6 major macro trends). Each paradigm includes Why it works + real product cases + design key points + when to use / counterexamples. Target readers = non-technical PMs, with in-line explanations of jargon and real-life analogies. It is complementary to [[shape-of-ai-patterns]] (pattern library, finer-grained reusable components) and [[nngroup-ai-ux-design]] (deep dive into conversational interfaces + empirical research); this article is at the "paradigm classification skeleton" level, and overlapping content is cross-referenced rather than rewritten.