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Disclosure

We are an AI agency. Here is where we stop using it.

Every agency in this market now sells AI. We read eleven of their sites while building this one, and not one of them says where it stops. That silence is doing a lot of work, because the question a buyer actually has is simpler than any of the sales copy: am I paying a person, or a prompt?

This page answers it, in enough detail to hold us to.

Where we do use it

  • Research and analysisClustering thousands of queries, spotting patterns across a crawl, summarising a competitor set. Work that is mechanical, checkable, and would otherwise eat a day.
  • First drafts of structureOutlines, heading structures, FAQ candidates. A skeleton a person then rewrites — never the finished text.
  • Internal automationReporting pulls, data cleaning, alerting when a number moves. Our own workflows, not yours.
  • Custom agents we build for clientsThis is a service we sell openly at /ai-automation-services/. It is the client's system, built to their brief, and they know exactly what it does.
  • The audio version of articlesRead by a synthetic voice. Every player says so, and the recording says so in its first line.

Where we never do

  • Published articlesEvery word on this blog is written by a person. If that ever changes, the post will say so at the top, in the same place the audio disclosure sits.
  • Case study numbersNo figure on this site is generated, estimated or rounded up by a model. Each one traces to an export with a date on it.
  • Client reports and recommendationsA model can summarise data. It cannot decide what to do about your business, and it does not sign anything we send you.
  • Reviews and testimonialsNever written, never "polished", never generated. The ones on /reviews/ point at platforms we cannot edit.
  • Images of people or placesNo generated faces, no invented offices, no AI photography passed off as a client's premises.
  • Anything sent to a client without a human reading it firstIncluding the auto-reply on the contact form, which says it is automatic.

The right-hand column is longer than the left. That is deliberate, and it is the half worth reading.

Four rules we hold to

Short enough to remember, specific enough to be broken — which is what makes them worth publishing.

1

A person is accountable for everything that leaves here

Not "reviewed by" as a formality. If it is wrong, a named person got it wrong, and that is the point of a byline.

2

Your data is not training data

We do not put client data into tools that train on it. Where a tool is used, it is one with that switched off, on a paid tier.

3

Disclosure is at the point of use

Not buried on this page. The synthetic audio says so on the player and in the recording. Any future AI-assisted content will say so on the piece itself.

4

If AI made it faster, you are not charged for the hours it saved

Automation is how we keep the price where it is. It is not a way to bill for time nobody spent.

What we publish for AI, and where it says so

Blog articles carry an audio version read by a synthetic voice. The player states it under the controls, and the recording states it in its own first sentence — before anything else is said.

We mention it here because a disclosure page that only describes disclosures is not one. Listen to the example →

Separately, we publish a plain fact sheet for AI assistants: what this business does, where it works and what it charges, set out so that a model answering a question about us quotes something accurate instead of assembling a guess. It is not in the navigation, because it is a reference sheet rather than a page anyone needs in order to buy from us. Read the AI information page →

Questions people ask

No. Every article, service page and case study on this site is written by a person. The only AI-generated thing published here is the spoken version of blog articles, which is read by a synthetic voice — the player says so and the recording says so in its first line.
No, and the distinction is the whole point. We build automation for clients as a service they commission, understand and own. That is different from quietly using a model to produce the work someone is paying a human rate for. One is the product; the other would be a substitution nobody agreed to.
Not into anything that trains on it. Where a model is used on client work it is on a paid tier with training switched off, and account credentials are never pasted into one. If you have a policy that goes further than that, say so at the start and we will work inside it.
Ask for the working. Every number we publish names its source and its export date, and we will do the same on your account — the queries, the dates, the method. A claim that cannot be traced back to a file is one you should push back on, from us or from anyone else.

Hold us to it

Send your URL and ask for the working — the queries, the dates, the method. If any of it cannot be traced to a file, push back.

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