AI Content Humanising

What this service is and is not

Being explicit about this matters, because the same words describe two very different things.

What it is: an editing service for commercial content. You have drafted marketing copy with AI, it is serviceable but generic, and you want it to read like your business wrote it and to contain claims you can stand behind. That is ordinary editorial work and it is what most of this demand actually is.

What it is not: a way to make academic work undetectable. We do not offer that, for our academic clients or anyone else. If you are looking for help with a university assignment, our academic services cover proofreading, editing, structural review and analysis within what universities permit, and none of it involves disguising who wrote what.

What makes AI drafts read as AI

The tells are consistent enough to list, and once you can see them they are hard to unsee.

• Uniform sentence length. Human writing varies; generated text tends towards a steady medium rhythm.
• Hedged authority. Confident-sounding claims with no source, no number and no name attached.
• Announced transitions. "Moreover", "furthermore", "in conclusion" doing work that structure should do.
• Tricolon everywhere. Three-item lists as a default rhythm regardless of whether there are three things.
• Abstraction where specifics belong. "Leading provider of innovative solutions" instead of what you actually do.
• Restated openings. The first sentence of each section paraphrasing the heading above it.
• Absent concreteness. No names, dates, figures or examples, because the model does not have yours.

What we change

• Verify every factual claim and either source it or cut it. Generative tools invent statistics and citations confidently, and publishing one is a genuine reputational risk.
• Replace abstraction with your specifics: your numbers, your clients, your process, your constraints.
• Vary sentence and paragraph rhythm so the text reads as written rather than generated.
• Cut announced transitions and let the structure carry the movement.
• Remove restatement, which typically recovers 10 to 15% of the word count without losing anything.
• Adjust register to your existing material, working from examples you send rather than a tone-of-voice adjective list.

A worked rewrite

On AI detection tools

We are asked about detection often enough to answer it directly. AI detection tools are unreliable in both directions: they produce false positives on human writing, particularly from non-native English speakers, and they miss a great deal of generated text. Nobody should be making consequential decisions on their output alone.

That said, we do not sell evasion. The work described on this page improves content because specific, sourced, well-rhythmed writing is better content, and detection scores are not what we optimise for. If a piece reads as human afterwards, it is because it now contains things only a human with your knowledge could have put there.

A workflow that produces publishable AI-assisted content

If you are going to draft with AI, the sequence matters more than the tool. This is the process that produces content worth publishing rather than content that needs rescuing.

1. 1Do the keyword and intent research first, with a human. The model does not know what your market searches for and will confidently suggest topics with no demand.
2. 2Write the brief yourself: target query, angle, the specific points you want made, and the facts you already have.
3. 3Draft with AI against that brief rather than against a one-line prompt. Most generic output is a generic prompt problem.
4. 4Strip every factual claim you cannot source. This is where most of the risk is.
5. 5Add what only you have: your numbers, your named examples, your process, your constraints.
6. 6Edit for rhythm last, because it is the cheapest thing to fix and the least important if the substance is wrong.

On publishing at volume

The obvious use of AI is to publish far more content far faster, and it is worth being direct about how that has gone for the sites that tried it.

Google’s stated position is that it rewards helpful content regardless of how it was produced, and penalises content produced primarily to manipulate rankings. In practice, sites that published large volumes of unedited generative content have seen substantial visibility losses in recent core updates, while sites using AI as a drafting aid inside an editorial process have not.

The practical conclusion is that volume without editorial judgement is the risk, not AI itself. We will happily help you produce more content faster. We will not help you produce a hundred unverified pages, because the outcome is predictable and you would be paying us for it.