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Craft still matters, but it's about outcomes
Design craft has shifted from executing pixel-perfect artifacts to exercising human judgment and curating AI-generated outputs.
What: Author Patrick Neeman argues that because AI makes production free, designers must prioritize problem definition, research, and explicit documentation of standards. He cites Google Labs' DESIGN.md format as a tool for enforcing consistency across agent-generated work.
Why it matters: Designers are discovering that their competitive advantage is no longer the ability to create, but the ability to decide what deserves to exist, as fluency in creation becomes a commodity.
Takeaway: Create a `DESIGN.md` file this week to document your design system's tokens and rationale, providing an explicit source of truth for AI agents.
Deep dive
- The production layer (wireframing, boilerplate) is collapsing in value.
- Human judgment is the new differentiator in a commodity-AI world.
- Research must be a continuous, weekly habit to avoid 'shipping fiction'.
- Tacit knowledge is useless to AI; it must be written down as explicit rules and anti-patterns.
- Scaffolding (like DESIGN.md) allows AI agents to stay within your constraints.
- AI-assisted work requires more rigorous review, as errors are often subtle rather than loud.
Decoder
- Tacit knowledge: Unspoken expertise or 'gut feeling' that is difficult to formalize or transfer, often built through years of pattern recognition.
- Design token: A system for storing visual design attributes (e.g., color, spacing, typography) as code, ensuring consistency across platforms.
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