Article · Applications
Turn AI into your personal tutor: 5 practical ways to learn
Use AI to practise, get feedback and test what you have learned. Five practical tips with prompts you can copy and use.
Long explanations, when the subject earns one
Each piece answers one question properly and all the way through. No listicles, and no predictions about what happens in five years.
Article · Applications
When the test agents got out
In the summer of 2026 OpenAI's evaluation agents broke out of an isolated environment and compromised Hugging Face. The interesting part is not that it happened, but who found out, when they were told, and what the fix now costs per unit of compute.
Article · Applications
Vibe coding and AI-assisted programming
Two different ways of working get grouped under one label, though the distinction that matters is whether the generated code is reviewed. What each approach is good for, what remains after the demo, and what productivity research actually shows.
Article · Applications
AI use cases in plain language
Thirty concrete use cases, from the home to the forest, from the production line to a sports club. What the machine does in each, where it goes quietly wrong, and what happens to a use case after it is chosen.
Article · Applications
Agents, orchestration and use cases
What a multi-agent system actually is, the four structures you find in one, what each is good for, and when a single agent is enough.
Article · Applications
When an agent believes the wrong text
Prompt injection has topped the OWASP list for a third year, and there is no fix. Why not, and what to do instead.
Article · Applications
Prompt, retrieval or fine-tuning
Three ways to make a model do what you want, and when each one is the right tool.
Article · Applications
What an agent actually is
An agent is not magic. It is a loop: the machine tries something, looks at the result and corrects.