Detect Claude writing — without overclaiming

Claude overlaps with other models once polished

Raw Claude drafts sometimes lean longer, more hedged and more list-friendly than a terse ChatGPT pass. After a human edit — or a second model pass — those fingerprints blur. A high score still means "sounds generated", not "Anthropic wrote this".

Treat model-named URLs as entry points for people who already suspect a tool, not as forensic labels in a report.

Assisted writing is the hard case

Students and professionals increasingly outline with Claude and rewrite by hand. Mid-scale and "Humanized AI" verdicts are common there. Escalating every mixed result as cheating punishes normal drafting help that a syllabus may allow.

If policy matters, ask for process: notes, drafts, oral defence of the argument. Sentence-level highlights show where to start that conversation.

Limits you should keep next to the score

No public detector reliably separates Claude from ChatGPT, Gemini or a careful human editor aiming for clean academic English. ESL writers and template-heavy genres still false-positive.

For classroom or hiring stakes, use the teacher and recruiter angles. For coursework format quirks, use the essay angle. The model page is the honest framing of what "Claude detection" can and cannot mean.

Questions

Can an AI detector prove text came from Claude?

No. It estimates how generated the writing looks. It cannot attribute authorship to Claude versus another model or an edited human draft.

Will Claude text score differently from ChatGPT?

Sometimes on raw drafts, rarely after editing. Do not use the score to name a vendor.

Why was careful human writing flagged as Claude?

Even, formal prose triggers the same features. Open the sentence-level view and compare to the writer's earlier work before you assume a generator was used.

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