Review an AI Detector Report Without Guessing Authorship
Review an AI detector report for teachers and writers in ChatGPT: weigh drafts and revision history as evidence instead of trusting a score.
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Paste the prompt and answer the assistant’s follow-up questions.
Your prompt
Help me review an AI-text detector report without deciding authorship from a score. First ask for the report wording, the text I have permission to share, and any available drafts or revision history. Treat a detector score as an unverified signal, not proof or a calibrated probability that a person cheated. Return a table separating observed evidence, inference and missing information. Check citations against supplied sources; identify unclear or unsupported passages for ordinary editorial improvement. Suggest neutral follow-up questions and a short evidence-preservation checklist. Do not identify an author, accuse anyone, recommend punishment, or rewrite text to evade detection. If there is insufficient evidence, say so.Copy, paste, and create. Outputs can vary by model and settings.
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Example result
Illustrative example; not tested on the listed platform. Search-topic measurements do not test model output.
How to use this prompt
- 1Provide the inputs requested at the start of the conversation.
- 2Copy the prompt into your chosen compatible assistant.
- 3Review the result using the example and its verification checks.
Tips & limitations
Topic signal measured 2026-10-10: Google Trends, Worldwide Web Search, All categories, 2026-09-09–2026-10-09. Query: ai detector. Shared-request average 53.9/100. Oct 2–8 versus Sep 25–Oct 1: +17.5%. Relative sampled interest, not search counts or an exact-title popularity rank. References are linked in Review evidence below. Compatibility does not imply a model-output test.
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Report incorrect information or a broken linkReview evidence
Documentation-based review · 2026-10-10
Topic signal measured 2026-10-10: Google Trends, Worldwide Web Search, All categories, 2026-09-09–2026-10-09. Query: ai detector. Shared-request average 53.9/100. Oct 2–8 versus Sep 25–Oct 1: +17.5%. Relative sampled interest, not search counts or an exact-title popularity rank.