Methodology

How we make our content

AI-accelerated, human-reviewed. Every number and claim verified before publishing.

AI drafts here. A person directs the work, checks every figure against its source, and holds responsibility for what goes out under this name. That is the whole claim, and the rest of this page is the machinery that makes it checkable rather than something you have to take our word for.

See what we refuse to publish How we measure

The review comes first

The order matters. A person decides what is worth writing, what the piece has to prove, and whether the draft in front of them is true. AI makes the drafting fast. It does not decide what ships, and it never settles a number.

Under the EU AI Act's Article 50(4), content that has been through real editorial review by a person with relevant judgement, where a named person holds editorial responsibility, is treated differently from unreviewed output. The Commission's guidance is explicit that a spelling pass does not count. Our byline is Logan Adams because he does that review and carries that responsibility. It is not a claim that no AI was involved, which is why this page exists.

What a piece has to clear

Every piece runs through the same gates, in code, on the way to the site. These are the ones that actually stop a publish today:

Two more run on every piece and report rather than block, which is worth saying plainly because the difference is the difference between a standard and a slogan. A written voice standard grades each piece against eleven rules, including a ceiling of two em dashes per thousand words, and a quality bar scores structure and specificity. Both are graded and reported. Neither one holds a post on its own.

What we refuse to publish

This is the useful half of the list, because it is the half that costs something:

None of that is a promise about intentions. Each line above is a check that runs on every build, and the build fails rather than warns.

Where the disclosure appears

It goes in a different place on each surface, and the placement is a decision rather than an oversight.

On a piece we publish

A line in the footer of the piece, plus a machine-readable marker and a link here. In the footer rather than beside the byline: a chip next to a name reads as a warning label, a footer line reads as a standard.

In a client report

Inside the methodology section, next to the run counts and the confidence intervals, where it reads as part of the rigor. Not at the top, where it would read as a caveat on work somebody paid for.

In a CSV or JSON export

A provenance field. Machine formats carry provenance natively, and the field says honestly whether the contents were drafted or measured. A data export of measured values does not claim to be AI-written.

In content you publish under your brand

The disclosure travels in your delivery record and in the agreement, not baked into the asset. Your channel, your name, your disclosure decision. We tell you, in writing, so you can make it.

The loop, with the receipt

The test of a measurement business is what it does when its own measurement comes back against it.

On 2026-08-21 we retired the three paid directory-listing tiers we had been selling. The first cycle of our own directory study returned a null result, and the pre-committed outcome, sealed before the answer was known, said that a measurable nothing meant we say so publicly and retire or reprice the tier. We took the retirement. The study, its method and its limitations are published in full, and the decision is recorded in our decision register with the evidence attached.

Read the study, including what it cannot yet tell us →

Research that only ever confirms the price list is marketing. This page is worth reading because that one is on it.

Keep reading