Maintaining simplicity in AI prompts before complexity; each prompt refinement should genuinely improve outputs, not add unnecessary detail.
The pu, or uncarved block, represents potential before specification. In AI prompting, this principle suggests testing your instructions at minimum viable complexity first. Start with the simplest prompt that communicates intent, then measure whether added detail genuinely improves results. Many practitioners over-architect prompts with excessive context, role-playing instructions, and conditional logic before validating whether basic prompts work. Laozi would caution against premature complexity that obscures rather than clarifies. A five-word prompt that produces excellent results beats a five-hundred-word engineering feat that yields marginal improvements. This discipline requires restraint—the constant urge to tweak and refine is partly compulsive. By respecting the uncarved block, you maintain clarity about what you actually need from your AI tool and avoid building fragile systems dependent on perfect prompt choreography. Simplicity also improves reproducibility and transferability of your workflows.
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