What you're actually looking for when you check for AI writing
AI-generated text has recognizable patterns, but they're not what most people think. You're not looking for a robot voice or obvious mistakes — modern AI writes in plain English. Instead, you're looking for structural habits: the way sentences connect, how ideas repeat, which words appear too often, and how the writing handles nuance. A real person writing about a topic they know will contradict themselves, use casual language, and jump between ideas. AI tends to smooth everything into a consistent middle ground.
The most reliable method is still reading carefully. You don't need a tool. You need to know what questions to ask the text itself.
Key Takeaways
- AI writing often uses the same transition phrases repeatedly, while human writers vary their connections between ideas.
- AI tends to hedge every claim with words like "may," "can," and "often," making the writing sound cautious even when discussing straightforward facts.
- Real writers contradict themselves, use slang, reference personal experience, and take stronger positions — AI avoids all of these.
- No detection tool is reliable enough to bet on; they produce false positives and false negatives regularly, so reading the text yourself is more accurate.
The patterns that show up in AI writing
AI writing follows predictable rhythms because it's built on patterns in training data. One of the easiest to spot is repetitive transition language. AI loves phrases like "Furthermore," "Additionally," "Therefore," and "As a result." A human writer uses these occasionally. An AI uses them in nearly every piece. Read a few paragraphs and ask: does this sound like the same person wrote it, or like a template?
Another habit is excessive hedging. AI adds "may," "can," "often," "typically," and "generally" to almost every factual statement, even when the fact is straightforward. A human might write "Remote work reduces commute time." AI writes "Remote work may reduce commute time for some workers, depending on various factors." This makes the writing sound uncertain even when discussing something straightforward.
AI also struggles with specificity and contradiction. Real writers name things: actual companies, actual people, actual numbers they've seen. They also change their minds mid-piece, admit when they're not sure, or say "I thought X but actually Y." AI avoids all of this. It stays general, never contradicts itself, and never admits uncertainty in a personal way.
What AI gets wrong about tone and voice
AI writing often sounds too polished and formal for the context. If you're reading a blog post about fixing a leaky faucet, a real person might write "I tried the obvious stuff first and it didn't work, so here's what actually fixed it." AI writes "Various approaches exist for addressing this issue, and the following method has proven effective." The formality doesn't match the casual topic.
AI also avoids personality. It won't use slang, won't make jokes that might not land, won't reference something the writer saw last week. It stays in a neutral middle register. Human writers — especially people writing about something they care about — let their voice show. They sound like someone, not like a database.
Another tell is how AI handles examples and evidence. When a human gives an example, it's usually because they saw it or thought of it. When AI gives an example, it often feels generic or slightly off — like it's checking a box rather than illustrating a real point. The example might be technically correct but oddly chosen.
Why AI detection tools are unreliable
Several companies sell tools that claim to detect AI writing. They analyze text for patterns and assign a probability. The problem is that these tools produce false positives and false negatives regularly. A tool might flag human writing as AI because the person happened to use formal language. It might miss AI writing because the AI was prompted to sound casual. The accuracy varies wildly depending on the tool, the length of text, and what kind of writing it is.
Some tools are also trained on outdated AI models. As AI systems improve, they produce writing that looks less like the patterns the detection tool learned to recognize. A tool trained on GPT-3 output might not catch GPT-4 output. By the time you read this, the tools available may already be behind.
The most honest assessment: if you need to know whether something is AI-written, read it yourself using the patterns described above. If you're using a detection tool as a final check, treat it as one data point, not a verdict.
How to read text like you're checking for AI
Start by reading the first three paragraphs and asking: does this sound like a person, or like something assembled from patterns? Look for the specific signs: repeated transition phrases, excessive hedging, generic examples, and a tone that doesn't match the topic.
Then pick a claim in the middle of the piece and ask: is this specific or vague? Does the writer back it up with a real example, or with "some people say" and "research suggests"? Real writers either know something or admit they don't. AI tends to split the difference.
Finally, look for contradictions or changes of mind. Skim for places where the writer says something, then later says something that conflicts with it, or admits they were wrong about something. If you find none of these, that's a sign it might be AI. If you find several, it's almost certainly human.
What to do if you think something is AI-written
If you're reading something for work or school and you suspect it's AI-generated, the next step depends on the context. In an academic setting, talk to the instructor or check the syllabus — many schools now have policies about AI use. In a professional setting, the question is whether the content is accurate and useful, regardless of how it was written. Some organizations use AI for drafting and then edit it heavily. Others publish it as-is.
If you're evaluating someone's writing sample — for hiring, for publication, or for trust — the question is whether you want to work with someone who uses AI without disclosing it. That's a judgment call that depends on what the writing is for. A first draft? Less of a concern. A final product presented as original work? More of a concern.
If you're a writer yourself and want to make sure your own work doesn't sound like AI, the solution is the opposite of what AI does: be specific, contradict yourself sometimes, use your own voice, reference things you actually know, and vary your sentence structure and transitions.
Frequently Asked Questions
Can AI detection tools tell me for certain if something is AI-written?
No. These tools make educated guesses based on patterns, and they're wrong often enough that you shouldn't rely on them alone. A tool might flag human writing as AI or miss AI writing entirely. Reading the text yourself is more reliable than any tool currently available.
What if the AI writing is really good — does that change anything?
Good AI writing is harder to spot, but it still tends to avoid specificity, contradiction, and personal voice. It will still use hedging language and repetitive transitions. The patterns are just less obvious. The question of whether it matters that it's AI-written depends on the context and whether the writer disclosed it.
Do all AI writing tools produce the same patterns?
No. Different AI systems have different training data and different design choices, so they produce different patterns. ChatGPT sounds different from Claude, which sounds different from other systems. A detection tool trained on one system might not recognize another.
Is it okay to use AI to write something if I edit it afterward?
That depends on the context and whether you disclose it. In many professional and academic settings, using AI as a drafting tool and then editing it is acceptable — but you should check the rules that explore to you. The key is honesty about the process.
What's the difference between AI writing and just bad writing?
Bad human writing is usually bad in specific ways — unclear because the writer didn't organize their thoughts, or wrong because they didn't know the facts. AI writing is bad in consistent ways — too hedged, too formal, too generic, too smooth. If you can point to a specific reason the writing fails, it's probably human. If it just feels off in a way you can't quite name, it might be AI.