Practical AI, written plainly.

Short, honest articles on using AI in a real business — what's worth doing, what to skip, and how to stay in control of your tools and your data.

Running LLMs on your own hardware: what's possible

Run capable AI privately on your own machines — no cloud, no data leaving the building. What local models can do today, and the hardware you actually need.

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Why most AI projects never make it past the demo

The demo looks brilliant. Six months later, nobody's using it. Here's what actually goes wrong between the pilot and production — and how to avoid it.

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Own your AI: how to avoid vendor lock-in

A lot of AI deals quietly hand your data, your models, and your leverage to someone else. A few simple questions keep you in the driver's seat.

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The EU AI Act, explained for small businesses

You don't need a legal team to understand the EU AI Act. Here's what it means if you're a small or mid-sized business using AI in the Netherlands.

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Five workflows worth automating before anything fancy

Forget the moonshot AI project for a minute. These five unglamorous tasks are where most teams get their first real hours back.

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Why AI training sticks better than another demo

Watching a tool get demoed teaches your team almost nothing. Getting hands on the keyboard for an hour changes how they work. Here's why.

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AI, explained without the jargon

A plain-language introduction for non-technical people. What AI actually is, what it's good and bad at, and how to start using it sensibly — no maths, no buzzwords.

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