Unverified50% confidenceBenchmarkExact time
Under the condition of refreshing responses at every update, increasing prompt breadth improved accuracy from 23.61% to 25.57%.
1
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50%
Confidence
Long-term
Relevance
9/23/2026
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Related Claims
UnverifiedThe interaction effect between prompt breadth and response refresh reached 4.07 percentage points, with a 95% confidence interval of [2.00, 6.28].75% similarUnverifiedWhen responses were frozen at the initial policy, increasing prompt breadth pulled accuracy down from 21.16% to 19.05%.73% similarUnverifiedRaising the confidence level from 95% to 99% (z-value 2.576) will expand the margin of error by approximately 31% for the same sample size.73% similarUnverifiedThe 31% accuracy improvement figure comes from GBrain's own promotional claims, and actual results vary depending on the dataset and scenario.67% similarVerifiedResearch indicates that high-quality prompts can improve model output accuracy by 30%–50%.67% similar
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