Why can articles written by AI be read at a glance? 5 tips to remove the AI flavor
AI in 2026 can already write grammatically correct and logically fluent articles, but many readers can tell after just two paragraphs that it was written by AI. The reason is not single, but the characteristics formed by the superposition of multiple details. This article systematically dismantles the 7 identified characteristics of AI articles from three perspectives: linguistics, writing structure, and content depth, and then provides 5 truly effective techniques for removing AI odors.
The trick is not to simply change words or randomly add typos, but to adjust from the perspective of writing thinking. After reading the article, you will not only be able to write content that is more like human writing, but you can also recognize AI articles posted by others. This ability is increasingly valuable in content review, SEO, and self-media operation scenarios.
The first flaw in AI articles: the sentence structure is too neat

The sentence length of what people write fluctuates greatly. Short and long sentences are intertwined, and occasionally one or two particularly long and complex sentences are paired with a few crisp short sentences. This sense of rhythm is natural and reflects the breathing rhythm of people when thinking. The length variance of the sentences written by AI is small, each sentence is between 15 and 25 words, which looks even but lacks vitality.
Compare examples. AI style: Artificial intelligence technology is developing rapidly. It has demonstrated strong capabilities in multiple areas. Including medical, education, finance, etc. This kind of three-sentence sentence of almost equal length is AI at first glance. Human Style: The AI is really too fast. All industries including medical education and finance are being affected. Short sentences are full of emotions, long sentences are foreshadowing information, and the rhythm is completely different.
If you want to write an article with an AI flavor, the first step is to deliberately break the neatness of the sentences. What should be long is long, what should be short is short. There are short sentences of 5 words in one paragraph and long sentences of 50 words. They look irregular but are real.
The second flaw: excessive use of parallel structures

The AI likes to list three things in particular. To express a point of view, you must bring three reasons, three steps, and three characteristics. This three-piece structure appears more than 60% of the time in ChatGPT, Claude, and Gemini outputs. A person would not be so compulsive when writing an article. He might list two, or he might list four, depending on the actual situation.
The deeper reason is that the high-quality articles in the AI training data themselves have this tendency (academic papers and technical blogs like three paragraphs). AI has learned the surface form but lost its flexibility. The result is that all AI must have a three-piece set, and if the regularity is too strong, it will be exposed.
The way to get rid of the AI flavor is to deliberately break the number 3. If there are 2 in the column, list 2, if there are 5, then list 5, and if there is 1, list 1. Follow the content instead of making up the numbers. It doesn't read like AI.
The third flaw: the vocabulary at the beginning of the sentence is highly patterned

AI articles often start sentences with: Furthermore, however, first, secondly, finally, worth noting, it needs to be pointed out. This set of words is fine in written language, but it appears too frequently. When people write, they rarely use transition words like this in the first sentence of each paragraph. They tend to go directly to the topic.
Specifically, you can do a small experiment to compare a 1,000-word article written by AI with an article written by a human, and count the number of occurrences of the conjunction "in addition, however, therefore." The AI version is usually 2 to 3 times more. This structural difference is an intuition of human writing that machines cannot learn.
When writing, deliberately delete half of these transition words. I originally wanted to write. In addition, AI can also write code. After changing to AI, it can also write code. I originally wanted to write "However, the effect is limited," so I changed it to "But the effect is limited." After deleting it and reading it again, you will find that it does not affect your understanding at all, but makes it more clear.
The fourth flaw: lack of specific people and things

AI likes to use common nouns when writing articles. Talk about users, user groups, and user experience, but not my friend Lao Wang, my cousin Xiao Li, and our company’s intern Xiao Zhang. Specific people and specific things are the core symbols of human writing. It is difficult for AI to generate such details by itself unless you give it specific materials.
Readers can feel it at a glance. An article full of people, everyone, users, no matter how reasonable it is, is like an advertising brochure. An article that my neighbor Aunt Wang said last time: My boss asked me yesterday can be read no matter how ordinary it is. Concreteness is the soul of writing, and AI has none of it by default.
The core technique to remove the AI flavor is to add concrete examples. Each point should be paired with at least one short story specific to the name of my friend, my colleague, my former company, or I saw a certain blogger. Even if it is made up, it is ten times more real than a common noun.
The fifth flaw: the mood is too peaceful
AI writes very rationally. List the advantages and disadvantages, balance the pros and cons, and not be extreme. This style is fine in professional settings, but it lacks emotional ups and downs. People always have preferences and dislikes, surprises and helplessness, pride and frustration when writing. These emotions are difficult for AI to express naturally.
The specific manifestation is that there are almost no exclamations in AI articles. No, it's really outrageous. This kind of sentence deserves to be complained about. I'm convinced by this kind of emotional sentence. Even when people are analyzing something when writing, they will occasionally express the attitude that this is a smart approach or that the design is too stupid.
The way to get rid of AI flavor is to allow yourself to have emotions. If you hate something, say you hate it; if you like it, praise it. Instead, readers will be willing to read on because of emotional resonance. A completely neutral article reads like an instruction manual and has poor dissemination power.
The sixth flaw: the ending is always cliche
90% of AI articles end with the cliché "To sum up, in short, I hope this article is helpful to you, let us embrace the future together." This is a side effect of the large number of official documents, explanatory texts, and business articles in the training data. People end their articles in a variety of ways. They may suddenly ask a question, they may tell a related story, or they may end abruptly.
The most annoying thing is the ending of the slogan "Let's work together to create a better tomorrow". AI appears very frequently. Readers will feel disgusted after reading this kind of ending, and subconsciously feel that this is a cliché and not worth my time to read.
To remove the AI flavor, it is recommended to change the idea at the end. One is to leave an unanswered question and let readers think for themselves. One is to tell a specific small scene to leave a lasting impression. One is to simply say that you haven't figured it out yet and leave some space. In short, don’t summarize.
The Seventh Flaw: Lack of Errors and Flaws
When people write articles, they will make typos, use wrong words, change their minds mid-sentence, and have incoherent logic. These flaws are instead signs of authenticity. AI articles are too clean, with no typos, incorrect wording, or logical jumps. This excessive neatness itself is unreal.
Of course I’m not suggesting that typos be deliberately written, but allowing the article to be a little glitchy is a good thing. For example, if a certain paragraph is written faster, the logic jumps a bit; the wording of a certain sentence is not precise but expresses the meaning; a sudden turn somewhere is not coherent with the previous text. These are all traces of human writing.
The advanced technique for removing the AI flavor is to let the text breathe. The pace is allowed to be fast and slow, the jumps are allowed, the words are allowed to be used casually, and the logic is not so strict. Instead, it reads more like it was written by a living person.
5 practical tips for removing AI flavor
第一个技巧是写完后大改一次。 Don’t use the first draft produced by AI directly, change at least 30% of the sentences. Delete half of the conjunctions, replace common nouns with specific examples, disrupt neat sentence patterns, and replace routine endings.这一步是去 AI 味的核心。
第二个技巧是加私货。 Add some of your own real experiences or observations to any article. For example, I wrote about financial management, plus a pitfall I stepped into last year. Write about technology and add actual scenarios from our company.这些私货是 AI 永远生成不出来的。
The third tip is to use spoken language. AI 偏好书面语 此外 然而 综上 等。换成口语 还有 但 总的来说。 To be more radical, just use the colloquial words "to be honest, to tell the truth, anyway". The writing style immediately comes alive.
第四个技巧是删字。 AI articles are generally redundant. Cut out 20% of the words in each paragraph, leaving only the parts that really convey the message.删字后的文章更紧凑,更像人写。这招对长文特别有效。
The fifth tip is to read aloud.写完后自己念一遍。念起来卡壳的句子改成顺口的。 AI articles have a strong writing feel when reading, but the rhythm is not smooth. Once you change it to a state where you can pronounce it fluently, it will basically lose its AI flavor.
Detection tools and counter-detection psychological warfare
Current mainstream AI detection tools include GPTZero, Originality.ai, Turnitin AI Detector, Copyleaks, etc. These tools make judgments based on text statistical characteristics (sentence length variance, vocabulary distribution, confusion). The accuracy is between 70% and 85%, but the false positive rate is high.
Anti-detection and actual writing are two different things. One is to put effort into writing really well (according to the techniques in this article), and the article will naturally pass the test. The other is to use tools to clean the manuscript and rewrite the AI article using other AI. The latter is effective in the short term but is increasingly easy to identify and the quality of the articles is poor.
I recommend taking the first path. AI helps you come up with an outline, materials, and first draft, and you can rewrite it later to add a human touch. This hybrid AI-plus-human workflow is both efficient and quality-assured. It’s getting harder and harder to get around it purely with tools.
Focus on removing AI flavor in different scenarios
The focus of public account articles is the beginning and emotion. The first 200 words must have a hook and a mood swing, otherwise readers won’t read further. The AI's default smooth start is Natural Enemy. Changing to a scene-based beginning (telling a specific short story) works best.
Zhihu answers focus on personal experience. What I encountered last year What I saw with my own eyes What I did for X years This first-person narrative is Zhihu style. Adding these personalized words to AI articles will immediately make them interesting.
The focus of SEO articles is clear structure and specific details. Google algorithms can already identify low-quality AI content. A clear structure is fundamental, and adding enough specific details (data, examples, quotes) is the distinguishing point. This article is written according to this idea.
Documents and reports focus on accurate terminology and standardized structure. In this scenario, the AI style doesn't matter. Readers look for information density and accuracy, not writing style. This kind of scene boldly uses AI without deliberately thinking about it.
FAQ
Can AI detection tools identify 100% AI articles?
cannot. The accuracy is between 70% and 85%. There will be false positives (those written by humans are judged by AI) and false negatives (those written by AI are judged by humans). Testing tools cannot be used as conclusive evidence, but they can be used as a reference.
Does using AI to translate and then rewrite it count as an AI article?
There are disputes at the legal and platform levels. Google’s attitude is that it does not differentiate between writing tools and only looks at the quality of the content. Schools and publishers generally require declarations of AI use. It is recommended to declare the use of AI from a compliance perspective, but ensure that the content quality is acceptable.
Will articles written by completely human beings be misjudged as AI?
meeting. People whose writing style is relatively smooth and neat are particularly likely to be misjudged. People trained in academic writing are particularly susceptible to being labeled AI by tools. This is a limitation of the tool, not a real problem.
How much personal information is enough to add to an article?
Typically 10% to 20%. For example, in a 2,000-word article, 200 to 400 words should be your own specific experiences or observations. Any more will overwhelm the focus and deviate from the theme, and any less will seem unrealistic. This ratio is an empirical value.
Which English article or Chinese article written by AI is easier to recognize?
English is slightly easier. Because the English detection tools are more mature and have more training data. Chinese detection tools are relatively lacking and the recognition rate is low. However, the "three-piece set" characteristics of Chinese AI articles are more obvious, and manual identification is not difficult.
The essence of removing AI flavor is to restore the humanity of writing. AI gives us writing efficiency but loses some of its soul. Learning to retain the efficiency of AI while injecting human characteristics is the ability that content creators need to cultivate most in 2026. I hope the tips in this article can help you write articles that are truly your own, rather than an AI repeater.
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💬 评论 (9)
Thanks for the detailed comparison.
Sharing this with my team.
Stats really back it up.
Bookmarked for reference.
Step-by-step is gold.
Loved the FAQ section.
Practical tips not fluff.
Best summary I've read on this.
Clear and to the point.