AI Guides & Tutorials
If your work involves anything sensitive, client data, health records, unreleased products, legal material, the idea of piping it through someone else API should make you at least a little uncomfortable. The good news is that in 2026 you do not have to. A genuinely capable, fully private AI stack is now within reach for a normal team. Here is how to think about building one.
Read more: Setting up a private, local AI stack for people who value their data
Most prompt engineering advice is either obvious or superstition. You do not need a 2,000-word mega-prompt or a secret phrase that unlocks the model true power. You need to say what you want the way you would say it to a sharp, literal-minded colleague who has no context and will take you at your word.
Read more: How to write a prompt that does not waste everyone time
"Agent" is the most abused word in AI right now. Vendors slap it on anything that calls an API twice. So let us be plain: an AI agent is a model that can take actions in a loop, decide what to do next based on the result, and keep going until a goal is met or it gives up. That is it. The interesting question is not what they are. It is when you should let one loose.
Read more: AI agents, minus the hype: what they are and when to use one