How to write with AI without sounding like AI

Give the piece a job

“Write something about the future of AI” is a reliable way to get an article that sounds important and says very little. The subject is enormous, the reader is undefined, and there is no decision for the piece to help with.

A better assignment is: “Help a marketing manager decide whether to use generated video for a product demonstration. Explain the benefits, the accuracy risks, and a sensible first test.” Now the draft has somewhere to go. It can be useful without pretending to explain the entire industry.

Before drafting, write one sentence that begins: “After reading this, the reader should be able to…” If you cannot finish it concretely, the assignment needs more work. This is also an editing test: a paragraph that does not help deliver that outcome needs a reason to stay.

Trade big claims for observable things

Abstract language often hides missing thought. “We empower a new era of seamless possibility” could describe almost any company. It does not tell a reader what you make, who it helps, or what changes.

Make the sentence smaller until it becomes clear:

The second column is not automatically true. You still need evidence that the product does those things. But it gives the writer a claim that can be checked and the reader a result they can understand.

Build the draft from evidence and examples

Collect the facts before asking for polished prose. Separate confirmed information, open questions, and your own interpretation. Give the model source excerpts or documents where appropriate, and ask it to identify gaps rather than complete them with plausible details.

A useful outline for a practical article is a real problem, a clear explanation, a worked example, common mistakes, and a next step. The exact structure can change. The requirement is that each part earns its place.

Examples should expose the thinking. If an article recommends measuring profit instead of revenue, show the costs in a small calculation. If it recommends better prompts, provide the actual brief. A paragraph that merely says examples are important is not doing the work.

Label invented scenarios as examples. Do not create a fictional customer and write about their results as if they were a case study.

Edit for meaning before tone

A friendly voice cannot rescue an empty argument. First ask whether the draft answers its own question. Then check whether the evidence supports the claims and whether the practical advice follows from them.

Only after that should you smooth the sentences. Replace unfamiliar words when a familiar one is equally precise. Break a long sentence where the thought changes. Keep technical terms when they carry useful meaning, and explain them the first time they matter.

Read a paragraph aloud. If you would feel awkward saying it to a capable colleague, rewrite it. “Here's what changed, and here's what I'd test” is often a better starting point than an announcement about a profound shift in the technological landscape.

Do not flatten every piece into the same pattern, though. A review, a tutorial, and an opinion essay have different jobs. Consistency should come from the care and clarity, not identical introductions.

Make the review pass specific

Use separate passes instead of asking whether the article is “good.” Check facts and links first. Check the argument next. Then check examples, readability, and the final page.

• For every date, version, price, and product capability, identify the source and when it was checked.
• For every strong claim, ask what evidence would justify it.
• For every recommendation, name the situation where it would not work.
• For every section, identify what the reader learns or can do.
• For every paragraph, remove repetition that adds no useful qualification.

Ask a second reader to tell you what they think the piece is recommending. If their answer differs from yours, the problem may be in the writing rather than in their attention.

Finish with a usable next step

An article does not need to end by predicting the future. It can end by giving someone a small, sensible action: audit one purchase event, prepare five evaluation tasks, or rewrite the first screen of a landing page.

AI can help with outlines, counterarguments, examples, and revisions. The editor still owns the final claims and the reader's experience. Publishing more words is easy. Publishing something a person can use takes a clear assignment, honest evidence, and a willingness to delete the impressive-sounding parts that do nothing.