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Critique in the AI Era
Design critiques must shift from evaluating a single output to auditing the logic and constraints that produced AI-generated variations.
What: Rather than reviewing finished mockups, designers should act as investigators, testing an AI's reasoning, verification steps, and the original prompt parameters that guided the output.
Why it matters: As AI makes production nearly instantaneous, the value of a designer shifts from craft-based execution to managing the quality of the 'brief' and refining systemic inputs.
Takeaway: Next time you use an AI for a design task, treat the review like a Formula 1 debrief: analyze the constraints, the model's reasoning, and the failure points instead of just the visual output.
Original article
AI can produce twelve credible variations before the coffee cools, so the design crit should become a debrief, like an F1 team studying telemetry over finishing position. Teams ask about reasoning, friction with the model and verification, and also critique the setup: briefs, constraints, and rubrics. AI critics tend to agree with the designer, and great AI-first designers sense limits, give precise feedback, and know when to override the model.
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