21 GenAI UX Patterns, Examples & Implementation Tactics
Generative AI introduces a new way for humans to interact with systems by focusing on intent-based outcome specification. GenAI introduces novel challenges because its outputs are probabilistic, requiring understanding of variability, memory, errors, hallucinations, and malicious use. This brings an essential need to build principles and design patterns, as described by IBM. Moreover, any AI product is a layered system where the LLM is just one ingredient, and memory, orchestration, tool extensions, UX, and agentic user-flows build the real magic! Below is a concise definition and example for each of the 21 GenAI UX patterns: GenAI or no GenAI Definition: Evaluate whether GenAI improves user experience or introduces complexity. Example: Intercom’s FinAI captures user intent and provides detailed explanations, unlike a structured button-based chatbot or FAQs list. Convert User Needs to Data Needs Definition: Translate user goals into structured data inputs to train AI model...