# AI Check Writer > A plain guide to judging whether writing reads machine-made: what detectors actually measure, why they disagree, and where the free routes stop being useful. Canonical: https://aicheckwriter.com/ ## Page AI Check Writer — A guide to reading detection scores, with worked cases. No signup, nothing uploaded. ## FAQ - Q: Why is there no detect button on this page? A: Because there are already many, and adding a fifteenth would not help you decide anything. What is genuinely hard to find is a plain explanation of what a score means and when it misleads. If you want a number, the linked detector will give you one and show its reasoning; this page is the part that comes before and after that. - Q: Do AI detectors actually work? A: They work well enough to be useful and poorly enough to be dangerous, which is an uncomfortable answer but an accurate one. On long passages of unedited generated text they are generally reliable; on short passages, edited text and second-language writing they are much weaker, and those are exactly the cases people ask about most. - Q: Why do two detectors give different scores for the same text? A: They are measuring different statistical properties and were trained on different data; there is no ground truth called 'AI-ness' for them to converge on, so disagreement is expected rather than a sign that one is broken. If two tools disagree sharply, treat the result as inconclusive, which it is. - Q: I wrote it myself and it flagged as AI. What now? A: This happens most often with short pieces, heavily edited drafts, and writing in a second language; the practical move is to widen the evidence: keep your drafts, note your process, and if the stakes are high, ask the person relying on the score what would satisfy them. A single number from a single tool should rarely be the whole case. - Q: Does editing my text make it look more or less like AI? A: Usually more, which surprises people. Detectors partly look for the unevenness natural writing has: odd sentence lengths, an unusual word choice, a slightly clumsy transition. Heavy editing smooths exactly those features; a polished human document can therefore drift toward a machine-like profile. - Q: Is translation the same as AI writing? A: No, but they can look alike to a detector. Machine translation produces fluent, regular text with statistical fingerprints similar to generated writing. If your text passed through a translator, that is worth knowing before you interpret any score at all. - Q: When should I just pay for a proper detector? A: When the result has consequences you cannot absorb — a submission, a client deliverable, anything published under your name. In those cases you want a documented score with reasoning you can point at, not a screenshot from a free tool that cannot explain itself. - Q: What should I do when a score is genuinely ambiguous? A: Say so. 'The tool flagged it and I do not think the tool is reliable here, and here is why' is a stronger position than either blindly accepting or blindly dismissing a number. Ambiguity that is described honestly is far more defensible than false confidence in either direction.