Engineer Tests 6 Free AI Text Detectors, Finds Them Unreliable on Human Writing

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A software engineer ran an informal benchmark of six free AI text detectors after a client falsely accused their original writing of being AI-generated. Using roughly 40 samples — split evenly between human-written and AI-generated text — across three formats, each sample was tested twice on separate days to assess score consistency. Results showed that some tools produced scores varying by more than 20 points between identical runs, raising serious doubts about their reliability. The detectors most frequently misclassified human text as AI-generated when the writing was formal, plain, or documentation-style, since these tools essentially flag statistically common words and structures. The engineer concluded that the tools perform adequately on fully generated content but break down in ambiguous cases, and advised writers to focus on distinctive voice and specific detail rather than chasing a passing score.

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