A score is an estimate
Different tools use different models, thresholds, supported languages, and document requirements. The same passage can therefore receive different results.
Detector education
How AI detectors work, and what their scores cannot prove.
AI detectors estimate whether linguistic patterns resemble data associated with generated or human writing. Their outputs are probabilistic signals, not direct records of who wrote a document.
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01 · Process
From draft to natural writing in three steps
Understand how AI writing detectors estimate patterns, why tools disagree, and why a detector score should not be treated as proof of authorship.
Context matters
Short samples, formulaic genres, edited translations, technical language, and non-native writing can affect results. A score should be reviewed alongside drafts, sources, and the writer’s process.
Responsible interpretation
Do not treat one automated score as conclusive evidence of misconduct. Institutions and publishers should use transparent policies and allow meaningful human review.
02 · rewrite modes
Choose the depth that fits the job
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3× credits1,000 words per 3,000 credits03 · Example
Two responsible interpretations
Use AI-assisted editing in accordance with applicable workplace, publisher, and educational policies. Review every result for accuracy and authorship requirements.
BeforeThe detector returned a high probability, so the document must have been generated by AI.
HumanizedThe detector returned a high probability for this sample under these settings. Reviewers should examine the writer’s drafts, sources, revision history, and the tool’s documented limitations before drawing a conclusion.
04 · Pricing
Plans for every writing workload
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05 · FAQ
Questions before you start
How does an AI detector decide?
A detector analyzes linguistic and statistical patterns and returns an estimate based on its model, thresholds, supported inputs, and current product design.
Why do detectors disagree?
They can use different training data, features, thresholds, document requirements, language support, and update schedules.
Can one score prove who wrote a document?
No. A score is not a direct record of authorship. It should be interpreted with process evidence and human review.
Can editing guarantee a lower score?
No. Detector behavior changes and tools can disagree. Editing should focus on accuracy, clarity, specificity, and appropriate voice.
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