Prompt Engineering
Writing the instructions to a model in a way that consistently produces useful output.
Why it matters
Prompt engineering is the skill of writing instructions that get the best results from AI models. The difference between a vague prompt and a well-structured one can be the difference between a useless response and a brilliant one.
You do not need to be a developer to benefit. Learning basic prompt techniques - like giving examples, specifying format, and breaking tasks into steps - makes every AI tool you use more effective.
How it works
4 stepsRelated terms
From the glossaryFrequently asked questions
Does prompt engineering require coding?+
No. Most prompt engineering is plain text. Understanding how models respond to different phrasings, examples, and instructions is the core skill, not programming.
Will prompt engineering become obsolete?+
As models improve their instruction-following, some basic prompt tricks become less necessary. But structuring complex tasks, setting personas, and managing context remain valuable skills.
What is the difference between a system prompt and a user prompt?+
The system prompt sets the model's behaviour, persona, and constraints before the conversation begins. The user prompt is the individual message sent turn by turn.
See the tools that use it.
The fastest way to understand Prompt Engineering is to see it inside real products. Browse hand-reviewed tools that put it to work, each one checked by a person before it was listed.
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