Core AI

Prompts and prompt engineering

A prompt sets the model's role, the rules and the answer format; prompt engineering is the work of making that answer controllable and useful in a given scenario.

How to use the term

What to read alongside

This term is worth reading together with the neighbouring concepts in its section and the Gravity AI launch scenarios it belongs to.

Glossary section

The basics you need to discuss an LLM product seriously: how a model reads a request, why context matters and where controllable answers come from.

What it is

A practical definition

A prompt sets the model's role, the rules and the answer format; prompt engineering is the work of making that answer controllable and useful in a given scenario.

Example in ecommerce

On a product page the prompt can require answers grounded only in store data, comparisons across key specs, and a closing line that points to the next step toward purchase.

Business impact

Cuts the share of vague answers, keeps recommendations consistent and raises dialogue quality at the commercial points of the journey.

Need a working scenario for your catalog, not just a dictionary?

We will show which scenario to start with, how to tie it to metrics and where measurable results come fastest.