Practical notes on AI from our AI specialists. No hype — just what works.
Subscriptions charge a fixed monthly fee per seat. Building on the API costs per token. These are two completely different products. Here is how to decide which one your business actually needs.
A Dutch employer pays significantly more than just salary. Here is a grounded comparison of what AI automation actually costs versus what it replaces — and where the math works.
Anthropic's safety-first research agenda produced one of the most capable and reliable models available. What growing businesses need to know about the lab behind Claude.
Google DeepMind has the deepest research bench in AI. What the merger of DeepMind and Google Brain means for businesses, and where Gemini fits in your stack.
Running AI on your own hardware versus calling a cloud API is not an ideological choice — it is an operational one. Here is the framework our AI specialists use to decide.
Meta's open-weight models changed the economics of AI deployment. What the Llama family means for businesses that want to run models without usage fees.
The open/closed debate in AI is louder than the practical stakes for most businesses. Here is what the terms actually mean and how to think about the choice.
OpenAI built the category and still sets the commercial pace. Here is a clear-eyed read on where the lab stands today and what it means for businesses buying AI.
AI capability has moved faster in the past year than most business owners realise. Here is a concrete account of what is actually new and what it means for how you work.
Claude stands out for reasoning depth, instruction-following, and safe output — practical reasons why our AI specialists reach for it first on most client builds.
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