Your Gut Says That Response Was Written by AI. Here's How to Actually Check.

Picture this: you're a hiring manager, a client reviewing a freelancer's draft, or a teacher reading through exam responses. One of them lands differently. The writing is almost too clean. Every transition flows, every sentence is confident, nothing is awkward. And somehow, that's exactly what feels wrong about it.

Or flip it. You used AI to help draft a response — a cover letter, a project proposal, an email — and now you're second-guessing yourself before hitting send. Will someone run this through a detector?

Both situations come down to the same question: how do you actually check if a response is AI-generated?

What Does AI-Generated Text Actually Look Like?

AI-generated text is consistent in a way human writing isn't. That consistency is the tell. Humans trail off, write long sentences and then short ones, repeat a word they didn't mean to, start a sentence with "And" — and all of that unevenness is normal. It's how people actually write.

AI doesn't do that. It produces text with low "perplexity" — a technical way of saying the word choices are statistically predictable. Detectors also measure something called "burstiness," which is the variation in sentence lengths. Human writing is bursty: some long, some short, mixing it up without thinking. AI tends to produce paragraphs where sentence length barely varies across the whole piece.

Understanding how AI detectors work makes this concrete. Detectors are essentially asking: how likely is it that a language model generated this exact sequence of words? The more predictable the choices, the higher the flag.

How to Check a Response for AI — Step by Step

The fastest way is to run the text through a detector. WriteMask's free AI detector takes a paste and returns a result in seconds. But a raw score isn't the whole picture. Here's how to read what you're actually seeing:

• Use at least 150 words of text. Short fragments don't give the model enough signal. If the response is brief, results may be unreliable.
• Look at sentence-level highlights, not just the overall score. Detectors flag individual sentences. A few flagged lines in an otherwise clean response is very different from a response where nearly every sentence lights up.
• Read it aloud. AI text often sounds oddly formal or rhythmically flat when spoken. Your ear catches what your eye skips over.
• Check for specific detail. AI descriptions tend to stay at the category level — "I have experience managing cross-functional teams." Human writing digs into specifics: what the project was, what went sideways, how it got resolved. Vague but polished is a pattern worth noticing.
• Ask a follow-up question. In a live setting like an interview, a specific follow-up is hard to field with a cached AI answer. Genuine understanding shows in how someone pivots to real detail. AI-sourced answers tend to retreat into generality.

What If YOUR Response Gets Flagged?

Say you used AI to draft something, cleaned it up yourself, and ran it through a detector to be safe — and it came back flagged. That's the moment most people don't know how to handle.

This is what WriteMask was built to solve. It reworks the statistical fingerprint of AI-generated text — varying sentence rhythm, breaking predictable phrasing patterns, restoring the burstiness that detectors use as a baseline for human writing. Users report a 93% pass rate across major detection tools, without changing the meaning of what you wrote.

It's also worth knowing that detectors aren't infallible. AI detection false positives are a real and documented problem — formal human writing, non-native speakers, and certain academic styles all get caught in false flags. If the writing is genuinely yours and it still gets flagged, that context matters when you respond to it.

The Honest Limit of Any Detector

No detection tool is a verdict. They're probabilistic — they measure how likely it is that a language model produced a piece of text, not whether it actually did. A flagged result is a signal. A clean result is also just a signal.

If you're facing an accusation based on a detector result, it helps to know what those tools can and can't prove. Read through what to do if you're accused of using AI — there are concrete steps for responding, and the argument starts with understanding the limits of the evidence.

For now: run the check, read it carefully, and don't mistake one tool's output for hard proof. The goal is to write clearly, understand the signals your text is sending, and handle the result — whichever direction it goes.