AI is used as a research and strategy assistant to help a designer gather context, synthesize competitor feedback and market signals, think through directions, and streamline early-stage design decision support.
The designer still frames the problem, asks the right questions, judges which insights matter, and decides the final design direction.
AI reviews competitor products, notes common UX patterns, and drafts a concise summary for the designer before concept work begins.
Claude / PerplexityAI groups user research notes into recurring pain points and opportunity areas so the designer can synthesize findings faster.
Dovetail / ClaudeAI turns project goals, constraints, and prior notes into an initial strategy brief that the designer edits and sharpens.
Claude / Notion AIThere’s a lot of noise around AI in design. Some say it will replace designers. Others dismiss it entirely. After three months of deliberately integrating AI tools into my daily workflow, my view is more nuanced—and more interesting than either extreme.
AI did not make me less of a designer. But it permanently changed how I design.
Updated stack as a designer using ai to streamline my workflows; for those that find it useful.
AI tech stack: Claude (research, strategy assistant), Claude Code (coding), Figma Make (prototyping), v0 (structural explorations), Vercel (hosting), Nano Banano Pro (image gen), Notion (second brain), Shadcn & Tailwind (styling)