Calibrated for short essays
650-word essays score more variably than long ones, the detector applies a length-aware confidence band so a high score on a short essay is interpreted in context.
For students · Applications
A growing number of admissions offices are piloting AI detection on application essays. Even if you wrote every word yourself, knowing what a detector sees is useful.
Application essays are a higher-stakes version of the same problem every student faces. Admissions readers are human; the detectors some offices are piloting are not. And the essays themselves are the genre most likely to trigger a false flag, short, polished, heavily revised, often workshopped with a counselor or tutor. That combination can read as AI-generated even when it isn't.
This page is about one specific decision: should you run your Common App / Coalition / direct-application essay through a detector before you submit? The answer is usually yes, and the reason is not what you'd guess.
Application essays share four features that AI detectors associate with generated text:
We don't predict whether a specific admissions office's detector will flag your essay. Each office uses a different tool (Turnitin, GPTZero, Originality.ai, internal models), and those tools disagree with each other as much as with us. A score here is a useful signal, not a prediction.
Your application essay is stored for 30 days on our servers and never used to train the detector. We have no relationship with any admissions office. Full policy on /privacy.
650-word essays score more variably than long ones, the detector applies a length-aware confidence band so a high score on a short essay is interpreted in context.
Formal register and high revision count both push detector scores up. The heatmap reveals whether flags cluster (rewrite-worthy) or distribute (a voice issue, not an AI issue).
We have no relationship with any admissions office, the Common App, or the Coalition Application.