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Developer tracks 1,427 AI prompts to reveal how query complexity evolved over weeks

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A developer analyzed 1,427 prompts typed to an AI between mid-June and late July to examine how his use of the tool had changed over time. He found that his questions progressively shifted from specific, task-level commands to broader, more abstract inquiries about thinking, method, and self-correction. Early prompts averaged under 200 characters and focused on fixing discrete problems, while later ones asked the AI to challenge his assumptions or help design systematic approaches. The share of prompts focused on method and systematizing rose from 13% to 36% over that period. He concludes that AI proficiency is less about crafting clever prompts and more about the level of abstraction from which a question is asked.

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