Episode #17
From Napkins to Agents: How AI Rewired Product Design
In this episode of Engineering Evolved, Tom sits down with Amelia Prasad, Director of Product at Concept to Cloud, to trace how AI has reshaped the day-to-day of UX and product design. Amelia — who came to product from astrophysics and climate science — walks through the shift from manual research, whiteboards and "back-of-the-napkin" sketches to building zero-to-one products directly in Claude Code. It's not a hype reel. Amelia is candid about the friction: learning version control from scratch, bloated six-thousand-line files, the designer-to-developer handoff problem, and the diminishing returns of heavy token usage in tools like Claude Design and third-party wrappers such as Lovable. Her current answer is a marriage of tools — passing work back and forth between Claude Code and Figma via MCP — so prototyping speed and real usability, accessibility and design-system rigour can each live where they belong. They close on what the next 12 months might hold: more human-led user research, not less, and why juniors and design intuition still matter in an industry tempted to hire only senior builders. Chapters 00:00 — Welcome & introducing Amelia 02:53 — From astrophysics to product design 03:33 — The pre-LLM UX workflow: manual research & competitive analysis 05:23 — Old-school tooling: Figma, Miro, Maze, pen & paper 06:56 — The lost art of napkin sketches and paper prototyping 07:57 — Meeting at Princeton: first exposure to LLMs 08:52 — AI workflows before AI building: the interview note-taker 11:02 — Stepping into Claude Code as a non-developer 13:45 — Handing off code on a small team: value and limits 15:17 — Guardrails, context and the handoff problem 20:02 — Lovable, Cursor and the trouble with wrappers 21:05 — Claude Design: token cost and diminishing returns 22:45 — Figma's MCP and the two-way handoff 24:50 — A suite of tools: knowing when to hand off to which 29:06 — Why active engagement in Figma beats waiting on the terminal 33:02 — The next 12 months: user research, systemic processes, robustness 38:16 — Will design jobs disappear? Juniors, intuition & human-in-the-loop 41:27 — Wrap-up & thanks Key takeaways AI adoption in design was gradual — automating admin and research before it could build whole products. The real skill now is orchestration: knowing which tool (Claude Code vs. Figma) does which job best. Speed doesn't replace craft — usability, accessibility and design systems still need a designer's hand. Human intuition and user research grow more important as products become AI-native. Cutting junior roles is short-sighted: today's juniors build the intuition tomorrow's products depend on. Enjoyed this one? Find us at conceptocloud.com and on LinkedIn. Subscribe to Engineering Evolved so you don't miss the next episode.
