How to turn your AI into a world-class designer: the random-number prompt trick
vista8 · x · 2026-09-04
Ex-Apple engineer Anshu Chimala's guest post on Lenny's Newsletter lays out an end-to-end process for tapping AI's hidden creativity in design.
- Thesis: LLMs are next-token predictors whose training suppresses creativity — most users see only 1% of a model's creative potential.
- Key technique: inject randomness into prompts, e.g., run a shell script to generate random numbers and have the model define its creative direction from them, breaking generic-template output.
- Demos: a conversational calorie tracker in 3 prompts (Claude Fable 5), a space exploration game in 2 prompts (Claude Opus 5), and a dynamic landing page in 3 prompts (Claude Opus 5 + GPT-5.6 Sol).
The post argues prompt engineering remains undervalued and gives a reproducible workflow for distinctive AI-built UIs.
Related event: Ex-Apple Engineer: Random-Number Prompting Unlocks AI Creativity(2 posts)→
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