A practical toolkit for designers and product teams creating AI-first user experiences. Balances human-centered design with technical realities of LLMs: persona engineering, conversation design, error handling, progressive disclosure, trust signals, and accessibility. Includes prototyping recipes, testing methodologies (A/B, qualitative studies), and evaluation metrics to measure usefulness, safety, and user satisfaction. Who this book is forUX/UI designers and product managers building conversational or generative features.Frontend engineers implementing LLM-driven interfaces.Researchers evaluating the human impact of AI-centric UIs.Startups shipping AI-powered products that need design guardrails.What the reader will learnHow to design personas, system prompts, and conversational flows for consistent UX.Methods for prototyping prompt-driven features and rapid iteration.Usability and accessibility best practices for generative interfaces.Measuring UX success: task completion, satisfaction, trust, and behavioral metrics.Ethical design checks, transparency, and user consent patterns.Integrating RAG, tool calls, and external data into UX while preserving clarity.
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