AI glossary

Prompt engineering

Summary

Prompt engineering is the practice of designing and refining prompts (role, context, format, examples) so a model delivers better, more consistent results.

Updated

What it is

It is the craft and method of structuring instructions: giving a role, context, output format, examples and constraints to cut down generic or wrong answers.

Why it matters to an agency

A well-designed prompt is the difference between an output you have to redo and one that is ready for the client. Standardizing your prompts makes your operation repeatable.

Example

Going from "write me an email" to a prompt with a role, an audience, an offer, a table format and a defined tone.

By the numbers

The base structure has 5 components: role, goal, context, format and 1 to 3 examples. That covers most agency cases without advanced techniques. Unlike fine-tuning, iterating on a prompt costs 0 dollars and takes minutes, while retraining requires data, time and budget.

FAQ

Frequently asked questions

Do I need to be technical?+

No. Prompt engineering is about clarity and structure, not programming.