
I Paid $800 for 'Original' Blog Posts — An AI Detector Said 94% AI. Here's How to Actually Check
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Sarah runs marketing for a mid-sized e-commerce brand. Last spring, she paid a freelance writer $800 for eight blog posts. The writing was clean. Grammatically perfect. And somehow completely lifeless. Something felt off, but she couldn't name it.
She ran one post through an AI detector on a whim. It came back 94% AI probability.
If you've had that same gut feeling — about a freelancer's deliverable, a colleague's report, a job applicant's cover letter, or even your own draft after a heavy revision session — you're in exactly the right place. Here's how to actually check.
What Does It Actually Mean When Text "Feels" AI-Written?
Your instincts are usually picking up on real signals. AI-generated text leaves behind patterns that careful readers — and detectors — can spot:
- Uniform sentence rhythm. AI writes in medium-length sentences with consistent structure. Human writing varies wildly — a two-word sentence next to a sprawling run-on. Real writers are rhythmically unpredictable.
- No strong opinions. AI hedges. It presents "both sides." It rarely commits to a take the way a human expert would when they actually know something.
- Generic examples. AI reaches for vague, illustrative examples instead of specific, lived ones. Real writers say "my first job at a paper mill" not "many professionals experience this."
- Perfect grammar, zero personality. Human writers make stylistic choices that are technically "wrong" but distinctly theirs. AI almost never does.
None of these are proof on their own. But three or four together? That's worth investigating properly.
How Do You Actually Check If Something Was Written by AI?
The most direct method is running the text through an AI detection tool. WriteMask's free AI detector analyzes text for the statistical signatures large language models leave behind — things like how predictable the word choices are (called "perplexity") and how uniform the writing is across sentences (called "burstiness"). To understand the logic underneath these scores, it helps to read up on how AI detectors work — knowing their mechanics helps you interpret results instead of just trusting a number.
Here's a practical process that actually works:
- Step 1: Use a substantial chunk. At least 200–300 words. Detectors need enough text to identify patterns. A single paragraph will give you an unreliable result.
- Step 2: Run it through two detectors. No single tool is right 100% of the time. If two independent detectors agree, you can be more confident. If they disagree, lean toward caution before drawing conclusions.
- Step 3: Read the score, not just the label. "67% AI" is very different from "96% AI." A score in the 60s might reflect confident, clean human writing. A score in the 90s is much harder to explain away.
- Step 4: Request a timed writing sample. If you're evaluating a freelancer or employee, ask for a short written response on a topic you specify, on the spot. Run that through the same detector and compare it to the flagged piece. The gap will tell you a lot.
Can Detectors Get It Wrong?
Yes — and this matters before you make any accusations. AI detection false positives are a documented problem. Highly technical writing, non-native English speakers, and people who simply write in a clean, structured style can all score high without having used any AI at all.
A high score should open a conversation, not close one. It's evidence. Not a verdict.
What If You're Checking Your Own Writing?
Sometimes the situation is reversed. You wrote something yourself — or used AI as a starting point and rewrote it heavily — and you want to know whether a detector will flag it before you submit it somewhere that matters.
Running your own work through a detector first is just smart preparation. If it comes back high and you know the work is genuinely yours, that's a false positive situation — and there's real guidance on how to prove your essay is human if you ever need to defend yourself.
If you used AI as a drafting tool and want the final version to read — and score — as human, WriteMask rewrites text to restore the natural variation patterns human writing has. It passes major AI detectors at a 93% rate in testing, which matters if you're submitting somewhere that uses detection tools routinely.
The Bottom Line
Checking whether something was written by AI isn't about gotcha moments. It's about knowing what you're actually working with — whether that's freelance copy you paid for, a document you're reviewing at work, or your own writing before it goes somewhere that counts.
Use at least two detectors. Read scores in context. Remember that detectors measure statistical probability, not intent or honesty. They can tell you something is likely AI-generated. They can't tell you why, or whether it matters in your specific situation.
Sarah confronted her freelancer with the data, renegotiated the contract, and now runs spot checks on all deliverables. Not because she's paranoid — because that's just how you protect an $800 investment in 2026.