Why do some people get 10x better results from the same AI tools?
Because the output you get depends as much on how you ask as on the model itself, an MIT study found that roughly half the quality gains from a better AI model came from users learning to communicate with it, not from the model. Power users treat AI like a smart new hire: they give it background, examples, and clear success criteria, then iterate on the answer instead of accepting the first draft. The good news is this is a learnable communication habit, not a technical skill.
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Hard evidence that half the 'better AI' effect is the user's prompting skill, the clearest answer to why identical tools produce wildly different results.