Start with success criteria
Anthropic’s guide to prompt engineering says to begin with a clear definition of success for your task, a way to test against it, and a first draft prompt to improve (Claude documentation). Without a test, you cannot tell whether a change made the prompt better or worse.
Core techniques
- Be clear and direct about the task and the audience.
- Give examples of the output you want.
- Separate instructions from the material with labels or tags.
- Give the model a role, such as "You are an accounts assistant".
- Ask it to think through the steps before answering hard problems.
- Break a big job into a chain of smaller prompts.
Where it is used
In a business, prompt engineering sits behind customer reply templates, product listing generators, report summaries and AI agents. A prompt that works 9 times out of 10 in a chat window may fail when it runs 500 times a day inside an automation. Engineering the prompt is what closes that gap.