# Prompt Engineering

Prompt engineering is the practice of designing instructions, context, and examples that guide an AI system toward a useful result.

## Why it matters

Prompt design affects model behavior, but prompts are only one part of a reliable system. Clear instructions, examples, structured outputs, relevant context, tool design, and evaluations work together.

## Example

A reporting prompt defines the audience, required sections, allowed evidence, citation format, uncertainty behavior, and a JSON schema consumed by the next step.

## FAQ

### What is Prompt Engineering in simple terms?

Prompt engineering is the practice of designing instructions, context, and examples that guide an AI system toward a useful result.

### Why does Prompt Engineering matter for teams using AI?

Prompt design affects model behavior, but prompts are only one part of a reliable system. Clear instructions, examples, structured outputs, relevant context, tool design, and evaluations work together.

### What is a practical example of Prompt Engineering?

A reporting prompt defines the audience, required sections, allowed evidence, citation format, uncertainty behavior, and a JSON schema consumed by the next step.


Source: https://www.luffy.so/ai-glossary/prompt-engineering

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