What AI Actually Changes About Building a Website
There is a lot of noise about AI and web development, most of it either breathless or dismissive. The useful version is narrower: some parts of building a website got dramatically faster, and the parts that decide whether a website works did not change at all.
What genuinely got faster
- Boilerplate. Forms, tables, responsive layouts, migrations, test scaffolding. Work that was always mechanical.
- First drafts. Of copy, of a component, of a data model. Something to react to beats a blank page.
- Unfamiliar territory. Reading an API you have never used, or a codebase you inherited, is far quicker than it was.
- Auditing at scale. Checking every page of a site for missing metadata or broken structured data is now cheap enough to do routinely rather than annually.
What did not change
Knowing what to build. Whether a page converts still depends on understanding the customer, the objection and the decision they are trying to make. No model knows why your enquiries stall at the pricing page.
Judgement about trade-offs, too. Prerendering versus server rendering, Shopify versus a custom build, whether a feature is worth its maintenance cost — these are business decisions wearing technical clothes.
And verification. Generated code and generated copy are both confident by default. The work of checking that a change actually does what it claims has become more important, not less.
Where AI-built sites go wrong
The failure we see most often is a site that looks finished and is structurally hollow: no real page titles, no structured data, an empty HTML shell served to crawlers, images with no alt text, and a build that has never been checked against a real browser.
It looks fine to the person who commissioned it, because they only ever view it in a browser with JavaScript running. It is close to invisible to everything else.
Questions worth asking about any new site
- View the page source. Is your content in the HTML, or is it an empty shell?
- Does every page have a distinct title and meta description, or does the whole site share one?
- Is there a sitemap, and does it match the pages that actually exist?
- Do images have alt text?
- Does the contact form deliver somewhere you have tested, and store submissions somewhere durable?
None of these are exotic. All of them are routinely missing.
The honest summary
AI is an excellent accelerator and a poor substitute for knowing what you are doing. It compresses the build, which makes the thinking either side of the build the part that decides the outcome.
Digova builds custom websites and web applications for businesses in Toronto and the GTA.