Results
We publish what we measure, when we measured it, and against which detector. Nothing on this site claims a pass rate that isn't on this page.
| Detector | Mode | Passed before | Passed after | Human controls flagged | Measured |
|---|---|---|---|---|---|
| Hello-SimpleAI RoBERTa detector (open model) | balanced | 50% of 16 | 75% of 16 | 33% of 6 |
"Passed" = scored below the detector's likely-AI line (60% AI probability). Small sample; treat as an indication, not a guarantee.
How we test
Fixed sample set (eval/set.json, versioned; samples are added, never removed). Every AI sample was generated by a large language model (some prompted to sound human); human controls are public-domain passages by named authors, plus contributed modern writing where marked. Each AI sample is scored, humanized once (balanced strength, Standard readability), and scored again; controls are scored once. pass_rate = share of AI samples scoring below the detector's 'likely AI' threshold (0.60). control_flag_rate = share of human controls at or above it. Scores are estimates; raw rows are published as CSV.
The set is fixed so runs are comparable over time; we add samples but never remove them. Runs are dated, and older runs stay in the record. The detector we use is the same one behind the in-app checker, so the score you see on your own text is measured the same way.
Where the samples come from. Every AI sample was generated by a large language model; four of them were deliberately prompted to sound human, because that is what a worried student asks for. The human controls are public-domain passages by named authors (Thoreau, Twain, Douglass, Lincoln, Austen, Du Bois), chosen because their authorship is beyond dispute. They are older in style than a 2026 essay, which we note rather than hide; modern human writing is added as people contribute it, and is labelled as such in the CSV.
What this does not show: results on detectors we don't run, results on your specific text, or results in a classroom or institutional setting. Detector scores are estimates from third-party classifiers and change as those tools update. No text can be guaranteed to pass any detector. Use this to improve your writing, and follow your institution's or employer's rules on AI use.