How to humanise AI-generated content
Humanise AI-generated content by restoring evidence, decisions, natural rhythm and accountability, not by adding random slang or deliberate errors.
Humanising AI-generated content means adding accountable human evidence and judgement, not sprinkling slang, typos or personal anecdotes into a machine draft. The safest process is to return to the source, decide what the author actually knows and rebuild the draft around that material.
Why common humanising tricks fail
Instructions such as "use bursts and perplexity", "add emotion" or "write like a friend" change surface style. They can also produce fake intimacy, irregular punctuation and invented experience.
A reader is not asking whether the sentence rhythm passed a detector. They are asking whether the author understands the problem and can be trusted.
A seven-step editing method
1. Name the author and responsibility
Who will publish the piece? What can that person or organisation responsibly claim? Remove first-person experience that does not belong to them.
2. Reopen the source material
Put interview notes, research, transcripts and approved examples beside the draft. Highlight statements that cannot be traced back.
3. State the point in plain language
Write one sentence without looking at the AI draft. If it differs materially, the generated structure may have pulled the piece away from the real idea.
4. Add a concrete mechanism
Replace "improves efficiency" with the task removed, the time or handoff affected and the condition required.
5. Add a boundary
Explain when the advice does not apply. Boundaries show thought and prevent a useful idea becoming a universal claim.
6. Restore natural emphasis
Give important ideas more space and combine minor ones. Vary sentence length because meaning varies, not as camouflage.
7. Read for truth and voice
Read aloud. Correct phrases the author would never say, but do not reduce technical precision merely to sound conversational.
Before and after
Before:
Embracing AI-powered automation allows modern brands to streamline workflows and cultivate deeper audience relationships at scale.
After:
Automation can schedule an approved post and adapt its dimensions for several channels. It cannot decide whether a customer deserves a personal reply.
The second version is more human because it makes a choice and states a limit.
Do not fabricate personality
Avoid adding:
- a childhood story unrelated to the point;
- fake hesitation such as "I was scared to share this";
- invented dialogue;
- emotional claims on behalf of a customer;
- deliberate spelling mistakes;
- regional slang the author does not use;
- jokes in sensitive communication.
If the original source has no human experience, publish an evidence-led explanation instead.
Use a review rubric
Score the draft for traceable facts, useful specificity, author ownership, voice match, reader decision and risk. A draft that sounds lively but contains an invented statistic fails.
The AI slop checklist and brand voice profile provide complementary controls.
Diagnose the problem before rewriting
Not every weak draft has the same cause. Editing becomes faster when you identify which layer failed.
| Symptom | Likely cause | Better correction |
|---|---|---|
| The post could belong to any company | No proprietary source or decision | Add a real observation, operating choice or customer question |
| Every paragraph sounds polished but empty | Prompt asked for finished copy before research | Return to sources and make a claim map |
| The copy sounds falsely personal | Model was told to add emotion or anecdotes | Remove invented experience and name the real author |
| Many claims have no boundaries | Model generalised from limited context | Add conditions, exceptions and uncertainty |
| Sentences repeat the same rhythm | Draft follows a stock social template | Rebuild around meaning, then edit rhythm |
| The article says nothing wrong but teaches nothing | It summarises a category rather than solving a task | Add a worked example and a decision the reader can make |
Do not begin with synonym replacement. If the source is weak, a line edit only makes the weakness less visible.
Build a claim map
For a substantial article or high-risk post, list each claim before editing:
- Claim: what the draft asks the reader to believe.
- Source: the document, data or named experience that supports it.
- Owner: the person responsible for the interpretation.
- Confidence: confirmed, reasoned inference or open question.
- Boundary: where the statement stops being reliable.
Consider the sentence, "Posting every weekday increases LinkedIn reach." A claim map may reveal that the source only observed one sample of active company pages. A responsible rewrite would not merely sound friendlier. It would explain the dataset, the limits and why a creator should test capacity against their own analytics.
This method also catches accidental plagiarism. If a distinctive framework has no internal source but appears after a model reviewed a competitor page, stop and investigate.
A longer before-and-after example
Weak generated draft:
Consistency is the secret to LinkedIn success. By showing up every day, sharing valuable insights and engaging authentically, you can build a powerful personal brand that attracts opportunities and drives meaningful connections.
The passage is difficult to disagree with, but it hides every decision. "Consistency", "valuable" and "authentically" are not defined. Daily publishing is presented as universal. There is no mechanism or evidence.
Source notes from the author:
- can sustain two researched posts each week;
- receives most useful conversations from practical teardown posts;
- daily experiments became repetitive after three weeks;
- replies to substantive comments on publishing days;
- wants consulting enquiries, not maximum follower growth.
Edited version:
I publish twice a week because that is the pace at which I can include a real client-safe example. When I tried publishing every weekday, the fifth post usually repeated the first. Two useful posts and time to answer specific questions produce better consulting conversations for me than five rushed updates.
The improved version uses first person because the author owns the experiment. It states the objective, mechanism and limit. A different creator can disagree and still learn from it.
Humanise different content types differently
Educational posts
Add a mechanism, example and boundary. Remove inflated stakes. If the post teaches a process, show one step with realistic inputs and outputs.
Product announcements
Explain what changed, who it affects and what remains unchanged. Replace generic excitement with a concrete user action. Link to current documentation.
Founder stories
Preserve the founder's actual sequence and uncertainty. Do not invent a dramatic failure, exact dialogue or lesson that was only obvious afterwards.
Customer stories
Use approved facts and quotations. Check whether anonymisation is genuinely safe. Never let the model improve a result for narrative symmetry.
Comparisons
Use the same criteria for every option, disclose a last-checked date and link to primary sources. A comparison that makes your product win every row will read like advertising, however natural the prose sounds.
Set an editorial stop rule
Sometimes the right edit is to discard the draft. Stop when:
- the central claim cannot be sourced;
- the voice depends on an invented experience;
- the source is not licensed or permitted for the use;
- the draft creates a legal or safety claim without qualified review;
- reconstruction will take longer than writing from the source.
Keeping an AI draft because time has already been spent on it is a sunk-cost error. The generic AI writing guide helps identify these failures earlier.
Frequently asked questions
Can an AI humaniser make content undetectable?
No reliable tool can guarantee how detectors will classify prose, and evasion is the wrong quality target. Improve provenance, truth and usefulness.
Should I use first person?
Use it when the named author owns the experience or opinion. Do not ask AI to invent a first-person story.
Does adding humour make AI content human?
Only when humour belongs to the real voice and context. Forced humour can make a factual or sensitive post less credible.
How much of an AI draft should I keep?
Keep only what survives source verification and editorial review. Sometimes the right decision is to keep the outline and rewrite every sentence.
Can SignalGenie preserve brand voice?
SignalGenie can use profile context during drafting and adaptation. Final responsibility remains with the person approving and publishing the content.
Should I use an AI detector during editing?
Not as a truth test. Detector scores can change after harmless edits and may misclassify human writing. Review provenance, accuracy, usefulness and author ownership instead.
What should an editor record?
Keep the source material, significant generated contributions, factual checks, reviewer and approval state. The record should be proportionate to the risk and value of the content.
Sources and further reading
- Writing with ChatGPT, OpenAI Academy.
- Safety best practices, OpenAI.
- Generative AI Risk Management Profile, NIST.