We use AI across research, drafting, code scaffolding and QA to build faster. Every output is reviewed by the person whose name is on the work. Nothing ships because a model produced it.
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The problem
Two failure modes, opposite and both expensive. One is pretending AI changes nothing and charging for hours it now takes minutes to do. The other is shipping generated code and copy unreviewed — which produces sites full of confident errors, invented statistics and security holes nobody read.
Competitor research, first-draft copy, component scaffolding, test generation, migration scripts, accessibility and content QA passes. These are places where a fast draft that a human then fixes is genuinely faster than starting from nothing.
Anything asserting a fact about your business, any statistic, any legal or medical copy, and any security-relevant code without review. The cost of a plausible-sounding error in those places is much higher than the time saved.
Server-rendered HTML, clean structured data, answer-first content. Building with AI and building to be found by AI are different things; we do both, and the second one is the part that compounds.
Plainly, in the handover. It is your site and your reputation attached to the copy.
Tools we use
Still deciding
Same foundations, different target and different measurement. GEO is not a replacement for SEO and nobody should sell it as one.
The three we are called in to fix most often. If any of these describe your current setup, that is the first thing we would change.
Models are confidently wrong often enough that publishing without review is a liability, not a saving. Invented statistics and plausible-looking security holes both arrive fully formed and reading perfectly well.
Research and first drafts genuinely compress. Pretending they still take the same hours is dishonest, and clients work it out.
Using AI to build a client-rendered site that AI crawlers cannot index is a specific kind of irony we see regularly. Building with it and building to be found by it are different jobs.
A model will happily produce a working answer to the wrong question. Platform choice, data model and integration strategy are judgement calls with a decade of consequences, and they belong to a person.
Agreed before we start, so progress is visible in the months before it shows up in revenue.
The questions we get asked most, answered without the sales gloss. If yours is not here, ask us directly — you will get a straight answer either way.
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