Editorial Policy

How content on this site is researched, drafted, reviewed and corrected, stated plainly rather than left implicit.

How Content Is Researched

Every factual claim on this site is meant to trace back to a source that can be checked: a case study drawn from real client work, a live third-party listing such as the HubSpot Solutions Directory, a public record such as Companies House, or an external citation to a competitor’s or a platform’s own published page. Where a figure or a claim can’t be sourced this way, the standard is to say so plainly rather than round it up or leave the gap unaddressed. Case studies on this site are written from the actual engagement: what changed, what was scoped but not built, and what the outcome honestly was, including when that outcome is qualitative rather than a locked number.

AI-Assisted Drafting and Review

Drafting on this site is AI-assisted. Working from the sourced facts described above, an AI system produces the first draft of a page or article. That draft then goes through a structured review pass before anything is scheduled or published: a second, independent AI review checks every factual claim against its cited source, checks for internal consistency, checks language and formatting against this site’s own style rules, and returns one of three outcomes, sign off, sign off with mechanical fixes only, or park the piece for a rewrite. A piece that doesn’t clear that bar within a fixed number of review rounds is not published; it’s flagged and held back rather than shipped anyway.

Jack Crabtree, Equanax’s founder, holds standing editorial responsibility for everything published here and reviews the site’s content, process and factual record on an ongoing basis, rather than personally re-checking each individual sentence before it goes live. Where a specific piece has also had a named human review before publication, on top of the AI review pass described above, that’s stated on the piece itself as “Reviewed by” a real, named person, not asserted generically. If it doesn’t say that, the review that happened was the structured AI pass described here, not an additional named human one.

How Case Study Details Are Anonymised

Case studies on this site describe clients by sector and situation, such as “an FCA-regulated investment manager” or “an NHS-adjacent healthcare staffing platform”, rather than by name, unless a client has agreed to be named. Specific figures, such as a pipeline stage count or a percentage improvement, are kept exactly as measured; what’s anonymised is the identity of the business behind them, not the substance of the result. Where an outcome can’t honestly be reduced to a number, this site says that directly rather than inventing one to fill the gap.

Equanax does not currently run a paid partner-link, affiliate or sponsorship programme on this site. External links, to a competitor’s pricing page, a platform’s own documentation, or a public register such as Companies House, are included as citations for a claim made in the text, not as commercial placements, and none of them are paid for. If that changes for a specific link in future, it will be disclosed on the page carrying it, not left to this policy alone to cover.

Corrections

If something on this site is wrong, out of date, or misattributed, the fastest way to get it fixed is to say so directly: jcrabtree@equanax.com. A confirmed error gets corrected on the page itself, and where the correction is substantive rather than a typo, the page’s “Updated” date changes to reflect it, because a refresh on this site is required to change the actual substance of a page, never just the date on its own.

Does “AI-assisted” mean nobody checks the facts?

No. Every draft goes through a structured review pass that checks each factual claim against its cited source before anything publishes, and a piece that fails that check is held back rather than shipped. What it does mean is that the reviewer on a given piece, by default, is a second AI system running that structured check, not a named human re-reading every sentence, unless the piece states otherwise.

Why anonymise case studies instead of naming clients?

Most engagements on this site involve regulated or sensitive commercial contexts where the client hasn’t agreed to be named publicly, even though the details of the build itself are worth sharing honestly. Anonymising the client while keeping every measured figure exact is how this site balances being genuinely useful against respecting that.

How do I report an error?

Email jcrabtree@equanax.com with the page and the specific claim you think is wrong. Confirmed errors are corrected on the page directly, and substantive corrections update that page’s visible “Updated” date.

Questions About How This Site Is Built

See About Equanax for who’s behind the work, or get in touch directly with a correction or a question.

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