How I AIA designer’s guide to AI: Why this designer switched to Cursor | Joel Unger
CHAPTERS
Designing with AI: anxiety, limits, and why thinking matters most
Joel frames AI as an accelerator rather than a replacement for designers, emphasizing that prompts and product thinking drive outcomes. He argues that design tools like Figma are a small portion of the job compared to problem-solving, and AI helps teams get to the “gnarly” parts faster.
What Trello is building now: inbox capture + Planner + multi-surface productivity
Joel explains Trello’s shift from classic Kanban boards toward a personal productivity system. New surfaces like Inbox capture and Planner must work together in a tactile, drag-and-drop way, creating new layout and interaction challenges.
Why Figma hit a wall: responsive panel systems and real resize behavior
Joel describes iterating in Figma with many layout variations, but finding it insufficient for modeling real-world resizing and responsiveness. Beta feedback revealed users wanted precise control over panel sizes across diverse screen setups.
Switching to Cursor: image-to-prototype for a 3-panel interactive layout
Joel shows how he moved from a Figma concept into Cursor to generate a working interactive prototype. By pasting an image and describing the desired behavior, he could rapidly get a functional panel system with toggles and resizing.
Discovering UX edge cases through real interaction, not static mocks
With a working prototype, Joel can explore nuanced responsive behaviors that are hard to anticipate in Figma. Testing drag-to-extremes and unusual layouts surfaces constraints and breakpoints that need explicit design decisions.
From prototype to production: how designers and engineers collaborate with AI artifacts
Joel clarifies that the Cursor-generated code isn’t production-ready, but it becomes a powerful communication tool. He uses Loom videos and the prototype to align on behaviors, while engineers implement with tests and enterprise-grade quality.
AI for podcast prep: voice-mode rehearsal and its limitations
Joel shares a lightweight, practical use of AI: rehearsing the run-of-show using ChatGPT voice mode. He notes shortcomings like missing lightning-round prompts and limited context windows, reinforcing that AI is helpful but imperfect.
Time saved for higher-value design work: focusing on thinking over execution
Joel returns to the theme that AI buys back time for the most valuable part of design—problem framing and decision-making. AI reduces time spent on repetitive production steps, enabling deeper exploration of complex interactions.
Last-minute brand animation rescue: rebuilding an animated logo with Cursor + SVG
Facing a time-critical logo update and discovering the existing animation was an old GIF, Joel uses Cursor to generate an animated SVG alternative. He supplies vector art, asks for clipping and bar motion, and fine-tunes timing and pixel alignment.
Midjourney for exploration: image masks, logo variations, and style experimentation
Joel explains how he uses Midjourney as an ideation engine, especially with black-and-white masks to generate variations. It’s positioned as a creative exploration tool rather than a final-asset generator.
Building a ‘Taco’ mood board: character consistency, style guides, and team alignment
Joel applies Midjourney to explore Trello’s husky mascot Taco, aiming to test how consistent the model can be and to generate a reference set. The output becomes a mood board to help the team decide on canonical character details and a consistent style guide.
How AI is changing design identity: more leverage, not less value
Joel reflects on how AI changes his perception of design work: it amplifies creative and strategic value rather than diminishing it. The tools accelerate output, but the designer’s judgment, taste, and intent remain central.
Lightning round: top tool, where AI struggles, and how to unstick Cursor
In quick Q&A, Joel recommends Cursor as the must-know tool for product designers, with the caveat of a learning curve and the benefit of partnering with a developer to set up. He notes AI still struggles with simple responsive debugging without browser visibility and jokes about his (slightly adversarial) prompting style when models get stuck.
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