AI is part of a broader design practice: to understand faster, explore more directions, prototype earlier and move closer to production. The goal is not more output. It is better decisions with less friction between thinking and making.
The most interesting part of AI-assisted design is not prompting. It is context engineering: giving tools the product logic, design tokens, component structure, constraints and intent they need to reason well.
Research synthesis, brief exploration, competitive context and problem framing.
Content structures, concepts, alternative directions and rapid ideation.
Interface exploration, design-system reasoning, prototyping and iteration.
MCP, code generation, Webflow and AI-assisted design-to-code workflows.