Glossary
What Is Prompt Engineering? Definition and Example
Prompt engineering is the practice of writing and refining prompts so that an AI gives reliable, useful results.
What it means
It includes giving context, stating the output format, adding examples, setting limits and iterating after a weak answer. For most people it is a communication skill, not a coding skill. In technical settings it also covers testing prompts at scale.
Example
You compare three versions of a prompt on the same task, keep the one that produces the best result, and save it in a library.
Why it matters
Good prompting saves time and reduces mistakes, and it is the foundation for building automations and agents.
Related terms
- Prompt: A prompt is the instruction or question you give an AI tool. A clear prompt states the role, the context, the.
- AI Automation: AI automation is a chain where a trigger starts a task, an AI step reads or writes something, and an action.
- AI Hallucination: An AI hallucination is a confident answer from an AI that is not true, such as a made-up fact, number, quote.
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Frequently asked questions
Is prompt engineering a real job?
Some roles focus on it, but for most people it is a skill used inside another job.
Do I need to code?
Not for everyday prompting. Coding matters for testing prompts inside software.
How long does it take to learn?
You can see clear improvement within a week of regular practice.