There's something wrong with the middle of a product review. Not wrong in the sense of having bad grammar or English that doesn't work, but wrong in the sense that the text is too clean. Too friendly. This review sounds like it was written by someone who read a bunch of reviews online and took the average of them.

Feeling in your gut? It's often right. The good news is that there are a few easy ways to back it up.

When Checks Don't Work By Hand

Remember how easy it was to spot words made by AI? There were pictures with extra fingers, words that didn't know where they were beginning, and paragraphs that went against themselves two lines later. Those times are over.

Today's AI writes a copy that is polished and grammatically correct, so a casual reader would miss it. It doesn't matter if it sounds good. That is, if someone with real knowledge stands behind it. When you read about a restaurant, you believe that someone has eaten there. You think someone fixed the problem when you follow troubleshooting advice. When you read something yourself and then use a tool that can check AI generated text to statistical patterns, it fills in the gaps that your eyes might miss. The combination of human judgement and computerised scoring gets a lot more than either one by itself. Detectors work by checking how predictable words are and how consistent sentences are.

They then give the text a score based on how closely it matches patterns found in known AI output. They won't say for sure, but a high chance flag on a piece that has already failed two or three of your manual checks is the best sign you'll get until you talk to the author directly.

1. Read the first few lines three times.

Most of the time, AI starts with a wide shot. For instance, "In today's rapidly evolving digital world, understanding X has become more important than ever." It could be about how to hack, keep your kitchen safe, or groom your dog. The line works for all of them, which is wrong.

People who write usually start with a clear point of view, a question, or a short story. That's the safest way for AI to begin any subject, so it does so from above.

Copy and paste the first two lines into Google to quickly test it. There is a good chance that the introduction was made from all twelve pages that say almost the same thing.

2. Keep an eye out for groups of words

Every AI model has words that make it feel better that it uses a lot more often than a person would. One or two in a long piece don't mean anything. Five or six crammed into a few sentences? I see a pattern there.

If you read a story that "delves into the landscape of the cybersecurity realm," you can put it down.

3. Check one specific claim

Pick one specific thing, like a study, a number, or a name of an expert, and look it up. This trick finds more AI content than all the others combined.

Writing for AI is like someone who is sure they know everything in a dictionary by heart, but every once in a while it makes up entries. A sentence might talk about a "recent Stanford study" that didn't happen or a number that no group has ever made public. It makes sense because the line is put together right. The story inside was just made up.

This check works so well because it is hard to fix fake sources. No matter how the words are put together or what the tone is, if the main evidence is fake, the whole case falls apart.

4. Measure the lengths of the sentences

Read this out loud and pay attention to the beat:

"AI tools are getting smarter all the time. They are able to make material for a lot of different areas. These tools are being used by businesses very quickly. What this means for making material is very important."

Every sentence is between 7 and 10 words long, has the same framework, and has the same amount of weight. It sounds like a drum machine in writing. It's technically on beat, but no one is playing.

It's something that writers do without even thinking about it. Not long punches. Then a longer line that goes on and on, adds a qualifier, and maybe goes around again. It's surprising how hard it is for models to copy that natural variation. They often find a rhythm that works for them and stick with it.

It works on any article you don't trust. Count the number of words in five lines in a row. If a lot of them are very close to each other, you're probably reading output instead of writing.

5. Try to find a real opinion

When you're done with a piece, ask yourself: Did the author promise anything?

In real life, AI hedges everything because it is taught to be fair. There are three things you should know about every suggestion. The last sentence of every comparison is "it depends on your needs." Every ending just repeats the beginning instead of adding to what was said in the beginning. To answer "where should we eat?" in writing, it would be "there are many great restaurants in this area."

Proof that this wasn't really written by anyone:

• The tone doesn't change; the sound stays the same from beginning to end.
• It's not useful to make recommendations anymore because they are so vague.
• This page doesn't have a single sentence that doesn't belong on it.
• In other words, the "conclusion" is just a summary of the introduction.

A real person who knows about the subject will tell you what they'd pick, what annoyed or surprised them, and why. Because the model doesn't have that experience, it's hard to fake that level of detail.

6. Run a detector and then guess what it found

That's fine if you need a tool to help you trust your gut. AIs that read text look for statistical trends, such as how often a phrase is used, how predictable a word is, and how consistent a sentence is. After that, they give the text a chance number.

But there's a catch: they're not always right. A Stanford study used several famous GPT detectors to look at essays written by people who are not native English speakers. More than 60% of the essays that were tested were false positives. Clean and simple writing by humans is flagged because it has some of the same traits as AI output: simple words, short lines, and a well-organized structure.

Use a detector to find something, not to prove something. Make a copy of the text, write down the grade, and then check it against what you saw above.

7. Look at other answers

It takes one more minute, but it's worth it right away. Put three or four stories next to each other that are all about the same thing. The top search results often have a lot in common with AI models in terms of structure and main points. For example, they both have the same heading order, examples, and findings.

People who write books also borrow ideas, of course. But they also include personal stories, point out facts in a way that shows what they know from their own experience, or disagree with what most people think. Since every article on page one uses the same style and doesn't add anything new, it's likely that those pages were used as a model to write the article.

Checklist for Quick Reference

• Vague opener that could be used for any piece on the subject
• Word groups that include "delve," "landscape," "crucial," and "realm"
• Unverifiable claims where the numbers, studies, or names of experts don't lead anywhere
• Flat rhythm where every sentence has about the same number of words
• No real opinion, just the right amount of balance to say nothing
• Detector flag where an online checker thinks there is a high chance of AI
• Copy-paste structure of the top search results with nothing else added

The Bottom Line

It's easy to do these seven checks without any special tools or tech know-how. Take your time and read more slowly. Things that are made by AI are funny because they're supposed to sound real, but that's what makes them bad. Real writing has rough spots, strong opinions, and details that hold up when looked at closely.

Pick one habit to start: the next time an article reads too easily, check one claim. There is no better tool on the market than that quick check to find AI filler. Once you learn that reaction, the other ways become automatic, and you won't be able to tell the difference between writing by hand and putting a machine together.