Friction, Feedback and the Future of Creative Work with Designer Pablo
Pablo Stanley on why friction matters in design, how AI reshapes the feedback loop, and why the best creative work comes from constraints, not freedom.
The Value of Friction
Pablo Stanley has built a career on the intersection of design and accessibility — from Humaaans (the illustration library) to Blush (the illustration platform) to his current work on AI-assisted design tools.
His core philosophy: some friction is valuable in the creative process. Not all friction — nobody benefits from wrestling with Photoshop's layers panel. But the friction of thinking, choosing, and committing to a direction? That friction produces better work.
When AI removes ALL friction — when you can generate 100 design variations in a minute — the quality of each individual output decreases. The designer's role shifts from creating to curating, and the curation skill requires different muscles than the creation skill.
'The danger isn't that AI makes bad design,' Pablo notes. 'It's that AI makes adequate design so easy that we stop pushing for great design.'
AI and the Feedback Loop
Instant Generation, Delayed Judgment
AI generates instantly but humans need time to evaluate. Pablo advocates for a deliberate pause between generation and selection: generate 10 options, walk away, come back with fresh eyes. The instant availability of options makes intentional evaluation more important, not less.
Feedback from Use, Not Preview
The tightest feedback loop in design is using the actual thing. AI tools that generate working prototypes (Cursor, Claude Code) produce better feedback than AI tools that generate images. 'You can't feel a screenshot,' Pablo says.
Collaborative Feedback with AI
Pablo uses AI as a design critic: 'Review this design for accessibility issues, visual hierarchy problems, and inconsistencies.' The AI provides objective feedback that catches patterns a human eye might miss after hours of staring at the same screen.
Constraints Drive Creativity
Pablo's most counterintuitive insight: giving AI more constraints produces more creative output. Open-ended prompts ('design a beautiful landing page') produce generic results. Heavily constrained prompts ('design a landing page using only two colors, one typeface, and no images — convey luxury through typography and whitespace alone') produce distinctive work.
This mirrors the human creative process. Musicians work within genres. Architects work within building codes. Poets work within meters. Constraints force creative solutions that freedom never demands.
The practical application: when using AI for design, add constraints that force specific choices:
- 'Use only the Playfair Display typeface'
- 'Maximum three colors, all in the warm palette'
- 'No images — convey the concept through typography and layout alone'
- 'The design must work without JavaScript'
These constraints prevent the AI's tendency toward 'average attractive' output and push toward distinctive, opinionated design.
The Future of Creative Work
Pablo sees creative work evolving along three axes:
Speed: What took days takes hours. What took hours takes minutes. The speed compression continues, and the designers who thrive are those who use the speed for more iteration cycles, not fewer.
Accessibility: Design tools become accessible to non-designers. But 'accessible' doesn't mean 'equivalent.' Having a kitchen doesn't make you a chef. The tools are democratized, but taste, judgment, and craft knowledge remain differentiators.
Collaboration: AI becomes a creative collaborator, not just a tool. You describe a mood, AI generates options, you refine through conversation, and the result is something neither you nor the AI would have created alone.
'The designers who will thrive,' Pablo concludes, 'are the ones who develop strong opinions about what good looks like and use AI to execute those opinions faster than ever before. Taste is the moat.'
