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Prompt Details

Model
Chat - (gpt-5.2)
Token size
270
Example input
[PASTE CONTENT HERE]: Academic / Research Notes The study primarily examines the correlation between sleep duration and cognitive performance in undergraduate students, although several secondary observations were made regarding stress and caffeine consumption. Participants self-reported sleep duration over a four-week period, which introduces potential recall bias. While the results suggest improved short-term memory performance in students averaging 7–8 hours of sleep, the findings were not consistent across all cognitive domains tested. Some tests showed negligible differences, and others showed moderate improvement. It should be noted again that self-reporting is a limitation, and that the sample size of 84 participants limits generalizability. Despite these constraints, the data may still be useful for forming preliminary hypotheses for larger studies
Example output
Title: Correlation Between Sleep Duration and Cognitive Performance in Undergraduates Key Facts / Constraints Primary focus: relationship between sleep duration and cognitive performance. Secondary observations: stress and caffeine consumption (not central to analysis). Sleep duration was self-reported over four weeks. Average sleep of 7–8 hours correlated with improved short-term memory. Cognitive performance results varied by domain: Some tests showed negligible differences. Others showed moderate improvement. Sample size: 84 undergraduate participants. Findings are preliminary and not broadly generalizable. Critical Dependencies or Conditions Reliance on self-reported sleep data introduces recall bias. Limited sample size constrains generalizability of results. Open Questions or Ambiguities Inconsistency of effects across different cognitive domains. Extent to which stress and caffeine consumption influenced results (not fully examined). Excluded Information Repetition of limitations, narrative emphasis, and detailed descriptions of secondary observations were omitted.
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Decisiongrade Information Condenser

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GPT-5.2
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Transforms messy text into a structured, decision-ready brief by extracting only information that materially affects understanding, constraints, or outcomes. Designed for executives, founders, analysts, and students who need clarity without interpretation, advice, or added ideas.
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