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What we cover

Detectors guess. Humanizers bet. Students pay.

Most AI detectors lean on a simple intuition: machine text is too smooth. Even rhythm, predictable words, sentences that all land at the same length. Humanizers sell the opposite — engineered mess. Paste something in and see the most basic version of that signal for yourself.

How detectors actually work

Interactive · Burstiness meter

Sentences—
Avg. words—
Variation—
Reads as—
This only measures sentence-length variation (coefficient of variation). Real detectors use language-model probabilities, and even they get it wrong. Nothing you type leaves your browser.

Section 01

Detectors

How AI detectors work, where they fail, and who trusts them anyway.

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Section 02

Humanizers

The tools that promise to make machine text pass as human — and what they really do.

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ClassroomAnalysis

The Syllabus Clause Wars

Total bans, open doors and traffic lights: how course AI policies are being written in real time, and why students keep getting caught between them.

2 min read

LabMethodology

How We Test Detectors and Humanizers

Corpora, thresholds, blind readers and the numbers we refuse to publish without context. The DetectionGuide testing protocol, in full.

3 min read

Editor’s picks

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The arms race between the machines that write and the machines that judge.

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