Blogs

With vibe coding you build in an afternoon what used to take weeks. The questions a development team asks up front, and why you now ask them yourself.

The documents are in. But do they belong to the right batch, and can you find the evidence later? That is where the data question behind the EUDR begins.

Sixteen questions, seven minutes, four dimensions on five levels, no email needed. What the scan measures, how it compares and how to use it.

Built an app with AI and usage is growing? How we take it into managed service: review the code, make it scale and have it pentested independently.

Why AI projects run aground on data quality, and what to do about it: start with one use case and put in order only the data that case actually needs.

Why AI initiatives stall in the pilot phase, and how to get from proof of concept to production: ownership, a data foundation that holds, and proper operations.

Building an app now takes a weekend. What comes after that to turn it into a platform you can run, scale and rely on.

From scattered experiments to a scalable AI foundation. Five common architectures: single-model, RAG, multi-model, agents and hybrid.

Retrieval-Augmented Generation in plain language: the three building blocks, how it counters hallucination, and where it still goes wrong.

Demand forecasting, production planning, route optimisation and energy use. Where AI makes a difference in the factory, and where people remain essential.

AI systems that do not do what they promised and care staff who gain work instead. What implementation theory contributes to that reality.