What this means
This text shows several patterns common in AI-generated writing — uniform sentence lengths and predictable phrasing. That is a signal, not proof: formulaic, heavily edited, or very formal human writing can score high too.
Suggested next steps
- Wrote this yourself? High scores do happen to human writing — see why detectors give false positives. Drafts and version history are stronger evidence of authorship than any score.
- Reviewing someone else's work? Treat this as one signal to look closer, not a conclusion — see how to use detectors responsibly.
- Short passages make every detector less reliable — try a longer sample and compare. More in how accurate are AI detectors.
What this means
This text mixes AI-like patterns with human-like variation. That is common for AI-assisted drafts and edited AI output — and also for ordinary human writing in a formal, structured style. This range is genuinely ambiguous.
Suggested next steps
- Avoid drawing conclusions from a mid-range score alone — it is the least informative band. See what detector scores really mean.
- Reviewing someone's work? A conversation about how it was written tells you more than this number — see how to use detectors responsibly.
- Longer, more varied samples give the signals more to work with.
What this means
This text shows the varied sentence rhythm and vocabulary typical of human writing. A low score is still not a certificate: carefully edited AI text can read as human, and no detector can rule AI involvement in or out.
Suggested next steps
- Treat this as "no strong AI signal," not proof of human authorship — see how accurate are AI detectors.
- Reviewing someone's work? A low score is not proof either way — the same care applies as with a high one: how to use detectors responsibly.
Sentence Analysis (red = likely AI · green = likely human)
How Does AI Detection Work?
AI-generated text has measurable statistical patterns that differ from human writing. This detector analyzes several signals:
- Perplexity: How surprising or unpredictable the word choices are — AI text tends to be more predictable
- Burstiness: Human writing varies in sentence length dramatically; AI writing is more uniform
- Transition words: AI models overuse connectors like "furthermore," "moreover," "in conclusion"
- Vocabulary diversity: Human writers naturally vary vocabulary more than AI models
Is This Detector 100% Accurate?
No AI detector is 100% accurate — including this one. False positives (flagging human text as AI) and false negatives (missing AI text) are possible. This tool is best used as one signal among several, not as definitive proof.
Who Uses AI Detectors?
- Teachers & professors — checking student submissions
- Publishers & editors — ensuring editorial standards
- Content managers — verifying freelancer work
- Hiring managers — reviewing job applications
- Researchers — maintaining academic integrity
Learn More About AI Detection
- How accurate are AI detectors? — what detector scores really mean, and why no tool can promise certainty
- Why AI detectors give false positives — why human writing gets flagged, and what to do if yours is
- How to use AI detectors responsibly — a practical guide for teachers, editors, and managers