Prompt engineering is the craft of writing instructions for an AI model so it produces reliable, repeatable results: defining the role, the format, the constraints, the examples and the failure behaviour. The difference between a mediocre and an excellent output from the same model is very often the prompt, not the model.
In production systems, prompts are code: versioned, tested and reviewed like any other asset. Our guide to prompt engineering for teams shows how to make them a shared standard.