Good AI vs Bad AI Writing, and the Dead Giveaways

Almost anyone can generate a page of text with AI in seconds. The gap now is not access, it is quality. Some AI-assisted writing is clear, accurate, and genuinely useful. Some is vague, generic filler that a reader spots in a paragraph. This guide explains what actually separates good AI writing from bad, how information flows differently in each, and the dead giveaways that tell you text was written by a machine and never really edited. It also covers why AI detectors are not the whole answer.

The short answer

Good AI writing and bad AI writing usually come from the same tools. The difference is the process around them. Good AI writing starts with a clear, specific prompt, is grounded in real facts, and is edited by a person who adds specifics and their own voice. Bad AI writing starts with a lazy prompt, accepts the first draft, checks nothing, and ships it. The result reads generic, repetitive, and sometimes confidently wrong. You can spot it by a handful of reliable tells: vague claims, stock phrases, uniform structure, and no real detail.

It is about the human, not the tool

It is tempting to say some AI models are good writers and others are bad. In reality, the same model can produce excellent or terrible writing depending on how a person uses it. Google's own guidance makes a similar point about quality: what matters is whether the content is helpful and original, not the method used to produce it [1]. The tool is neutral. The human decisions around it are what make the writing good or bad.

That reframes the whole question. Instead of asking whether AI can write well, ask whether the writer gave it enough to work with and did the work of checking and shaping the result. Good writing is a process, and AI does not remove the process. It just speeds up one part of it.

How information flows in good AI writing

Good AI-assisted writing follows a path that looks a lot like good human writing. First, the writer gives clear input: who the reader is, what the goal is, the key facts, and the tone. A specific prompt like "explain X to a new customer, friendly, under 200 words, include these three facts" produces far better output than "write about X."

Second, the material is grounded in truth. The writer supplies real facts or uses a tool that can retrieve and cite sources, then verifies anything the model states. AI predicts plausible wording; it does not guarantee accuracy, so a human has to check names, numbers, dates, and claims.

Third, the writer edits. They cut generic lines, add specific examples and real detail, adjust the tone, and make the writing sound like a person rather than a template. The AI produced a fast first draft. The human turned it into something worth reading. That final pass is where good AI writing is actually made.

How information flows in bad AI writing

Bad AI writing skips almost every step above. The prompt is vague, so the model fills the gap with the most average, expected version of the topic. Nothing is grounded, so any facts are whatever sounded likely, including errors the writer never caught. And there is no real edit, so the raw draft goes out as is.

The result is text that is grammatically fine but empty. It restates common knowledge, hedges instead of committing, and never includes a specific example, number, or opinion, because the writer never added one. This is also the pattern that search engines and readers penalize: content produced at scale with little value, regardless of who or what wrote it [1]. Bad AI writing is not bad because a machine helped. It is bad because no human did the thinking.

Good vs bad AI writing at a glance

The dead giveaways of AI writing

No single word proves text is AI written, and the tells shift as models change [3]. But when several of these show up together, especially with no real detail, it is a strong signal that a draft was generated and never edited.

Generic openers. Lines like "In today's fast-paced world," "In an ever-evolving landscape," or "When it comes to X" are classic filler that says nothing. A human writer with a point usually starts with the point.

The neat scaffold sentences. Patterns like "It is not just about X, it is about Y," "Whether you are A, B, or C," and "From X to Y" show up constantly in unedited AI text. One is fine. Three in a page is a tell.

Overused vocabulary. Words like delve, tapestry, testament, realm, navigate, underscore, and pivotal appear far more often in AI text than in natural writing. These markers are real but not permanent. A Washington Post analysis of more than 300,000 ChatGPT messages from mid 2024 to mid 2025 found the use of "delve" declining as models were tuned, which shows the tells evolve over time [2][3].

Empty hedging and filler. Phrases like "it is important to note," "it is worth mentioning," and "in conclusion" pad the text without adding meaning. They are the sound of a draft with nothing specific to say.

Uniform structure. Every paragraph the same length, every section the same shape, endless bulleted lists, and heavy bold everywhere. Human writing is lumpier. A very short sentence, an uneven paragraph, a section that breaks the pattern all read as human.

No specifics. This is the biggest tell of all. Bad AI writing talks in general terms and never names a real example, a number, a date, or a concrete situation. If you cannot find a single specific detail in a whole article, a machine likely wrote it and no one added anything.

Confident but wrong facts. AI can state something false with total confidence, sometimes inventing sources or quotes. A claim that sounds authoritative but falls apart when you check it is a classic sign of unverified AI output.

Repetition in fresh words. Saying the same point three times with slightly different phrasing is common in unedited AI text, because the model keeps generating plausible sentences around one idea.

Over-polished sameness. Grammar so perfect and tone so even that the writing feels sanded down, with no rhythm, no personality, and no opinion. Ironically, flawless and lifeless is itself a tell.

Why AI detectors are not enough

There are tools that score how likely text is AI generated, such as Grammarly's AI detector, GPTZero, Scribbr, and Copyleaks [4][5]. They look for patterns like low variation and high predictability. They can be a useful first check, but they are not proof.

No detector is fully accurate. They produce false positives, flagging human writing as AI, and false negatives, missing edited AI text. Detection guidance is clear that you should not rely on a detector's score alone to decide whether AI was used [5]. Non-native English writers are especially likely to be wrongly flagged, because their writing can look more predictable to these tools. Use detectors as one weak signal, and trust your own reading of whether the writing has real substance and voice.

How to make AI writing good

If you use AI to help write, the fix for every giveaway above is the same: put the human back into the process. Give a specific prompt with the reader, goal, facts, and tone. Verify every fact yourself. Then edit hard: cut the generic openers and scaffold sentences, delete the filler, add real examples and a point of view, and adjust the wording until it sounds like you.

That is the line between good and bad AI writing. Good AI writing is a person using a fast tool to express something real. Bad AI writing is a tool used to avoid the work. The reader can almost always tell which one they are reading.

Frequently asked questions

The takeaway

Good AI writing and bad AI writing usually start with the same tools. What separates them is the human process: a clear prompt, verified facts, and a real edit that adds specifics and voice. Bad AI writing skips all of that and shows it, through generic openers, stock phrases, uniform structure, empty hedging, and a complete absence of detail. Detectors can help a little, but your own judgment about substance and voice is more reliable [5]. Use AI to speed up the draft, then do the human work that makes writing worth reading.

A tool note: AIME is built for that human editing step. It rewrites your own text for clarity and tone in two clicks, inside the apps you already use, so you can turn a rough draft into something that sounds like you. You can see how AIME works or download it for macOS.

References

[1] Google Search Central Documentation, "Creating helpful, reliable, people-first content." developers.google.com/search/docs/fundamentals/creating-helpful-content

[2] Google Search Central Blog, "Google Search's guidance about AI-generated content," February 8, 2023. developers.google.com/search/blog/2023/02/google-search-and-ai-content

[3] RTE Brainstorm, "How to detect text which has been written by ChatGPT," November 2025 (references a Washington Post analysis of 300,000+ ChatGPT messages, 2024 to 2025). rte.ie/brainstorm/2025/1128/1545935-chatgpt-ai-writing-text-detection-words-phrases-emojis

[4] Grammarly, "AI Detector: Free AI Checker for ChatGPT, GPT-5 and Gemini." grammarly.com/ai-detector

[5] Scribbr, "AI Detector: Trusted AI Checker for ChatGPT, GPT-5 and Gemini" (on detector limitations and accuracy). scribbr.com/ai-detector