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Two patterns stand out. Conversations with iteration and refinement show roughly double the fluency behaviors of quick exchanges - users who treat initial responses as starting points are 5.6x more likely to question Claude's reasoning. But when Claude produces artifacts like code or interactive tools, users become more directive yet less evaluative: 5.2 percentage points less likely to catch missing context and 3.1 points less likely to challenge the model's logic.
As AI outputs look increasingly polished, the instinct to critically evaluate them matters more, not less. Anthropic suggests treating every initial response as a draft worth pushing back on.
New research: The AI Fluency Index. We tracked 11 behaviors across thousands of https://t.co/RxKnLNNcNR conversations—for example, how often people iterate and refine their work with Claude—to measure how well people collaborate with AI. Read more: https://t.co/g65nGQFmjG
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