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The people who consistently get great results from AI don't necessarily write better first prompts than everyone else.

A shared habit of people who get great results from AI: what do they do when the first answer disappoints?

Give specific feedback on what's off and refine over two or three rounds
Working with AI is a conversation, not a slot machine. Editor-style feedback — 'shorten item 2, make the tone less formal' — converges on what you want within a few turns. Iteration is the real prompt skill.

People who consistently get strong AI results tend to share one habit above clever initial prompting: when the first answer disappoints, they give specific feedback about exactly what's off — 'shorten item two,' 'make the tone less formal' — and refine over two or three rounds rather than expecting perfection on the first try.

Closing the tab in frustration abandons a process that usually just needed one more clarifying round, and searching for some mythical AI that nails everything on the first attempt misunderstands how these tools actually work — iteration is baked into getting good output, not a sign of failure.

This treats working with AI less like querying a search engine and more like editing with a collaborator, where each round of feedback narrows the gap between what you asked for and what you actually meant.

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