How We Actually Use AI in Web Development

AI is the most over-promised topic in tech right now. We use it every day, and the honest picture is more useful than the marketing.

Where AI genuinely helps us: writing and reviewing code faster, generating first drafts of copy in three languages, creating alt text and metadata, and spotting bugs we might miss. It compresses the boring parts of a project so we spend more time on the parts that need judgement.

Where AI helps our clients directly: chatbots that answer common questions 24/7, automations that move data between tools (form to email to spreadsheet) without manual work, and content personalisation. These are concrete, measurable wins when the use case is clear.

Where AI does not help: it cannot decide what your business should say, it cannot replace understanding your customers, and it confidently produces wrong answers when unsupervised. Every line of AI-assisted code and copy we ship is reviewed by a human. That is non-negotiable.

The mistake we see most is bolting an AI feature onto a site because it sounds modern. A chatbot that gives wrong answers is worse than no chatbot. We only add AI when it solves a problem you actually have.

Used with judgement, AI lets a small studio deliver work that used to need a much larger team — which is part of why custom, high-quality websites are now within reach for smaller budgets.