Writing for Humans and Machines
Writing effectively now requires consideration of both human and machine audiences. Machines evaluate content based on clarity, structure, and authority, raising the standards for good writing. To succeed, writers must focus on clear communication, using the language of their audience and providing original insights.
- ▪Machines read and evaluate technical documents, product copy, and landing pages, influencing recommendations and purchases.
- ▪Good writing discipline is essential, including using customer language, building topical authority, and providing original insights.
- ▪Structure, clarity, and authority are crucial for content to be effectively extracted and understood by both machines and human readers.
Opening excerpt (first ~120 words) tap to expand
What does it mean to write well when machines are part of your audience? Machines now read your technical docs, product copy, and landing pages. They compare you to competitors, decide whether to recommend you — or skip you entirely. Some of them buy the product. They evaluate all of this based on your writing. Machines have made bad writing harder to fake A human reader might give you a few sentences of grace. A machine won't. It either gets it or it doesn't. This is a good thing. Whether you're writing API docs, an onboarding tooltip, a product changelog, or a blog post — it forces you to do what you should have been doing all along: Lead with the answer. If a reader (or a model) stops after your first paragraph, did they get the point? If not, you buried the lede.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hiba.
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