Dinge, die es wert sind, aufgeschrieben zu werden.
Praxisnahe Gedanken zu KI, Software und Automatisierung — aus der Arbeit, nicht aus einem Content-Kalender.
We build software you don't need us to run
Most agencies build so you have to come back. We build the opposite — and lose follow-up work on purpose. Here's why that's the better deal for everyone.
Where does your data actually go?
Before you ask what an AI tool can do, ask where your data lands. The second question decides whether you're even allowed to use it. Here's the part the sales call skips.
You probably don't need a chatbot
When a company says 'we want AI', it almost always means 'we want a chatbot'. It's the most visible option — and usually the wrong place to start. Here's what to build instead.
Building Erikssonwood: making a traditional trade findable
A certified tree-felling and forestry firm does its real work in the forest, not online. The website's job is narrow but critical: be found, and be believed. Here's how we built for that.
Building Enkel Natur: a wellness shop the owner can actually run
A licensed physiotherapist with 15 years of clinical knowledge wanted to sell essential oils online — without depending on a developer to change a price. Here's how we built it.
Three automations that pay for themselves in the first month
Most automation pilots start too big and stall. These three work for almost any ops team, are narrow enough to actually ship, and the ROI shows up fast.
Build vs. buy: the question nobody answers well
CFOs say buy everything. Engineers say build everything. Both are wrong. Here's the one question that actually cuts through it.
Why most AI consulting engagements fail before they start
Companies start with 'we want AI' instead of a specific problem. That's the mistake. Here's how the good engagements are different.
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