AI writing tools are fast, but their default output has a recognisable flavour — smooth, even, and slightly hollow. It over-uses certain phrases, keeps every sentence the same length, and hedges everything. Readers pick up on it, and so increasingly do search engines. Making AI text sound human is mostly a matter of editing out the tells and putting a person back in.
This guide covers how to turn generic AI output into writing that reads naturally, without pretending you never used a tool.
What you need
- ✓The AI-generated draft.
- ✓Your own knowledge of the subject and audience.
- ✓A willingness to cut and rewrite — humanising is editing, not find-and-replace.
Step-by-step
- 1
Spot the AI tells
Learn the giveaways: over-used connectors ('moreover', 'furthermore', 'in conclusion'), empty intensifiers, phrases like 'in today's fast-paced world', relentless three-item lists, and a tone that's confident but says nothing concrete. Once you see them, they're everywhere.
- 2
Vary the rhythm
AI tends to write sentences of similar length and structure. Break that up — mix short, punchy sentences with longer ones. A one-word sentence. A flowing, clause-rich one after it. Rhythm is one of the strongest signals of a human writer.
- 3
Add real specifics
Generic writing stays abstract. Replace 'this can improve results' with a concrete example, a real number, a named situation. Specifics are things a model rarely invents accurately, and they're what make writing feel lived-in and credible.
- 4
Put a voice and an opinion in
AI hedges and stays neutral. Humans take a position, use an aside, show a bit of personality. Add a genuine opinion, a touch of humour, or a direct address to the reader — the things a cautious model avoids.
- 5
Cut the filler and clichés
Delete throat-clearing intros, redundant summaries, and stock phrases. If a sentence could be removed without losing meaning, remove it. Tighter writing reads more human because people, unlike models, get to the point.
- 6
Read it aloud and fact-check
Read the whole thing out loud — anything that sounds stiff or robotic gets rewritten. And verify every fact the AI produced, since the smooth confidence hides errors. The final pass is what makes it truly yours.
Examples
- AI: 'In today's fast-paced world, effective communication is more important than ever.' Human: 'Most emails fail for one boring reason: nobody can tell what you're actually asking.'
- Replacing 'this method can be quite effective' with 'this cut our reply time from two days to four hours' — a specific that no reader mistakes for filler.
Tips
- →Learn the tells — over-used connectors, even rhythm, empty confidence — then edit them out.
- →Vary sentence length deliberately; rhythm reads as human.
- →Swap abstractions for concrete numbers, names and examples.
- →Add a real opinion or aside; models stay neutral, people don't.
- →Read it aloud — anything stiff gets rewritten.
Common mistakes
- Only find-and-replacing words. Humanising is real editing — vary rhythm and add specifics, not just synonyms.
- Leaving every sentence the same length. Mix short and long sentences to break the AI cadence.
- Keeping it abstract. Add concrete examples and numbers; specifics feel human and credible.
- Not fact-checking. Verify every claim — smooth AI prose can hide confident errors.
Conclusion
Humanising AI text is editing, not disguising: spot the tells, vary your rhythm, trade abstractions for specifics, add a real voice, cut the filler, and fact-check every claim. Do that and the draft an AI gave you becomes writing that reads like a person — because, after your edit, one did.