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Human? Beta

Quality Assurance

Under Construction

Here we will publish the results of public stress tests of our algorithm.

  • Deception attempts: how the algorithm handles prompts commanding "human-like" style and artificial typos.
  • False Positives breakdown: analysis of real texts where the detector made a mistake, and explaining the reasons.
  • Complex hybrids: dissecting texts with deep authorial editing layered on top of AI drafts.

We believe in transparency. A tool should not only show its victories but also openly analyze its blind spots. The first batch of cases will appear here soon.

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