How AI Speeds Up Our Work (and Where We Don't Let It Decide)

The website you're reading right now was built in two days. Eight languages, fourteen projects, five service pages, an enquiry form with emails, and structured data for search engines. Not because we were in a rush, but because we work with AI differently than we did a year ago.

AI as a colleague, not a button

We don't use AI to "generate a website". We work with an AI agent that can read code, run commands, open a browser and check its own work. It gets its brief in Czech, like a colleague would: "look at the old site, carry over the content, show more visuals and add our websites". Then it asks questions, makes suggestions and shows work in progress.

The difference lies in who does what. Daniel sets the direction, the taste and what's true. The agent handles the routine that would otherwise take a person hours: downloading and converting images, taking website screenshots, translating, checking, and making repetitive edits across dozens of pages.

How we work

• Brief and research: the agent goes through the old site and source materials, downloads the visuals and writes up what it found.
• Design and build: design and code take shape piece by piece, and we review every step in the browser.
• Translations: seven languages run in parallel, each in its own agent, with automated checks that nothing is missing.
• Quality control: scripts crawl every page, link, SEO setting and HTML validity. Errors get fixed before the client ever sees them.
• Versioning: every change is saved to the history on GitHub, so anything can be rolled back at any time.

What we built to make it work

The model alone isn't enough. Over time, we've built an environment around AI in which it delivers reliable results:

• Project memory and rules: whatever the agent learns or we tell it ("don't mention this number", "never build while the dev server is running") it still remembers the next day.
• Custom check scripts: an SEO audit of every URL, a check for untranslated text, and measurements to catch overlapping elements at any screen width.
• Our own tools: ClientDeck for running marketing with an AI audit, and our own hosting panel that deploys the website straight from GitHub.
• Automated screenshots and images: screenshots of client websites, and photo optimisation for both the web and email.

Where AI doesn't get the final say

This is the important part. AI is fast, but left unsupervised it can make things up. That's why a few firm rules apply:

• No invented facts. Numbers, references and claims about clients are supplied and approved by a human. If we don't know something, we'd rather not write it.
• Decisions on concept, taste and tone are made by Daniel. AI offers options, not the outcome.
• Irreversible steps, such as deleting, deploying or sending, are always confirmed by a human.
• Every text and every screen goes through human review before a client or the public sees it.

AI isn't taking our work. It's taking the boring part. We put the time saved into ideas, details and conversations with clients.

What it means for clients

Shorter timelines and more options to compare. Fewer errors, because checks run automatically and thoroughly. And above all, more time for what AI can't do: understand what the client truly needs and design it so that it works.