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A 'Design Critic' Subagent Pattern for Turning AI Output From Bland to Distinctive
Lennys Newsletter·September 1, 2026
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Summary
Ex-Apple AI design lead Anshu Chimala lays out a Discover/Define/Deliver framework for getting genuinely distinctive design output from AI agents, centered on a 'design critic' subagent — shown only a screenshot in a fresh context — that scores output against a stated quality bar, decoupling execution from judgment.
Why this signal
A concrete, transferable eval pattern (a cheap critic model judging an expensive generator's output) applied outside code — directly useful evidence for Neo's evals-as-product-guidance thesis extending beyond pure engineering.
Original email
Lennys Newsletter · 9/1/2026
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