AI for UX & UI Design

Day 1: Build Your AI Brain

• Capture your UX process, methods, standards, project goals, audience, constraints, measures of success, and expectations for how AI should support your work in one shared workspace.
• Teach an AI agent how you approach research, design, testing, and decision-making, and create a system that improves as new project information is added.
• Plug your Skills.MD into real research tasks and guide AI to generate research plans, questions, and hypotheses.
• Use prepared competitive research, behavioral research, survey results, and interview notes to organize information, identify patterns, and suggest findings and opportunities.
• Compare AI outputs with the original research, remove exaggerated, unsupported, or overly general findings, and refine instructions when the agent makes assumptions.
• Develop a clear project brief, working AI Brain guidelines, and research findings to guide the next phase of the project.

Day 2: Design the Product and How AI Should Help

• Use your AI Brain to generate problem statements and opportunity areas, map user journeys, and turn research findings into user stories and feature priorities.
• Choose one focused product opportunity and define where AI should act, assist, recommend, ask for approval, or leave control with the user.
• Plan human review, approval, correction, and intervention, including smooth handoffs between AI support and human support.
• Design an experience that helps users understand what AI is doing and accounts for consent, correction, undo, uncertainty, errors, and recovery.
• Develop a mid-fidelity user flow that is inclusive, accessible, understandable, and grounded in the research findings.
• Review the flow for accessibility, inclusive design, trust, and user control, then add the resulting product direction, AI responsibilities, interaction patterns, and accessibility guidelines to your AI Brain.