When a founder is deciding whether to hire an agency, the first thing they check is the agency's own website. A slow site, a single language, content that never gets updated — it tells you everything before you read a single word. So we built ours the same way we build for clients: fast, in three languages, and easy for us to update ourselves. Everything below is real, straight from how the site actually works.
What A Good Agency Website Actually Needs
A website that sells web development can't cut corners, because visitors notice. It needs to load instantly, work properly in the languages of the markets we serve (Croatian, English, and German — not a quick translate button), and let us publish a new case study or page the same day, without waiting on a developer. And increasingly, it needs to be understood by AI tools like ChatGPT and Google's AI answers, not just classic search.
How We Built It
Nothing here was picked to sound impressive. Each choice solves a real problem this site actually has.
It Loads Instantly
We use a modern caching technique (Next.js 16 Cache Components) so the parts of the page that never change — the menu, the layout, the text — appear the moment you click, while anything dynamic loads in separately behind the scenes. No spinners, no waiting for content that hasn't changed in weeks.
We Can Publish Without Touching Code
Case studies, blog posts, and service pages live in a content system (Sanity), not buried in code. That means new content goes live the same day, from a simple editor — no developer, no waiting for a release.
Three Real Languages, Not A Translation Plugin
Croatian, English, and German are each a genuinely separate version of the site, with their own web address and their own visibility in search. The German site can rank well in Germany on its own — it doesn't just piggyback on the Croatian one.
An AI Assistant That Actually Knows Our Content
Ask a question through the assistant on our site, and it answers using what's actually published here — not a generic script making things up. Behind the scenes, it searches our real content first, then answers from that (a method called retrieval-augmented generation), so the answers stay accurate.
