Knowledge base
The terms behind working with AI.
Short, honest explanations of the terms you meet once AI starts doing real work. Each term in one paragraph, with a dossier next to it for those who want to go deeper.
The terms.
AI agent
A system that is given a task and chooses its own steps to complete it, within boundaries you set.
Read the explanationContext engineering
Managing what an AI model sees at any moment: the skill that succeeded writing prompts.
Read the explanationHarness
The machinery around an AI model that determines whether it delivers reliable work.
Read the explanationHuman-in-the-loop
The design principle where AI does the executing work and a human keeps the decision moments.
Read the explanationEvals & guardrails
Measuring whether AI output is right, and guarding the boundaries within which a system may act.
Read the explanationPrompt engineering
Formulating a good instruction for an AI model, and why that is no longer the whole story.
Read the explanationDeeper into the technique? We wrote the five-part dossier series "Working with AI" on how agents really work. To the insights
Rather an explanation for the whole organisation?
A keynote or training makes these terms tangible in the language of your work.