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Want to get more from AI? Treat every prompt like an experiment

Opinions Prompting for Research

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TL;DR - A Nature comment piece by James Dewar arguing that researchers should treat each AI prompt as a designed experiment whose output is a result requiring verification, offered as ten practical tips. It matters because it reframes everyday LLM use as a methodological practice subject to the same scrutiny norms as lab work.

  • Core thesis: an AI query is an experiment, not an oracle — every output is provisional evidence that must be checked before use.
  • Implies scientific-method habits carried over to prompting: stating the question precisely, controlling/varying inputs, and validating outputs against independent sources.
  • Framed as ten actionable tips for practitioners rather than empirical results; it is opinion/guidance, not a study, despite appearing in Nature.
  • Content available here is thin (title plus a one-line abstract), so the specific ten tips and any supporting examples are not visible and are not reproduced above.

Sources (1)

Want to get more from AI? Treat every prompt like an experiment

Nature James M. Dewar 2026-08-03 doi:10.1038/d41586-026-02083-6
Public signals OpenAlex citations 0
Providers: Hugging Face · N/A OpenAlex · Citations 0 Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-03 14:33:41.220838 UTC

TL;DR - A Nature comment piece by James Dewar arguing that researchers should treat each AI prompt as a designed experiment whose output is a result requiring verification, offered as ten practical tips. It matters because it reframes everyday LLM use as a methodological practice subject to the same scrutiny norms as lab work.

  • Core thesis: an AI query is an experiment, not an oracle — every output is provisional evidence that must be checked before use.
  • Implies scientific-method habits carried over to prompting: stating the question precisely, controlling/varying inputs, and validating outputs against independent sources.
  • Framed as ten actionable tips for practitioners rather than empirical results; it is opinion/guidance, not a study, despite appearing in Nature.
  • Content available here is thin (title plus a one-line abstract), so the specific ten tips and any supporting examples are not visible and are not reproduced above.
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