Prompt Engineering Basics
Prompt engineering sounds like a job title. It’s mostly just: be specific about what you want.
Here are the principles that actually move the needle.
The four elements of a good prompt
- Role — who should the AI be?
- Task — what exactly do you want?
- Context — what should it know?
- Format — how should it respond?
You don’t need all four every time. But thinking through each one before you write your prompt will make it dramatically more effective.
Example: before and after
Before (vague):
Write a summary of this article.
After (specific):
Act as a copy editor. Summarize this article in 5 bullet points for
a busy executive who won't read the full piece. Focus on decisions
or actions implied by the content.
[article text]
The second version specifies role, task, context, and format. The output will be more useful on the first try.
The most important principle: iterate
Treat the first response as a starting point. Say what you’d change, and ask again:
- “Make this more concise.”
- “The tone is too formal — loosen it up.”
- “Add a specific example to point 3.”
Good prompting is a conversation, not a one-shot command.
When you’re stuck
If you’re not getting what you want, try one of these:
- Add a format constraint: “Answer in 3 bullet points” or “Respond in 2 sentences”
- Specify the audience: “Explain this to someone with no technical background”
- Ask for options: “Give me 3 different versions of this”
- Ask it to ask you: “What questions do you need answered to write the best version of this?”
The last one is underrated. Claude will tell you exactly what context it needs.
Would you rather this was just handled?
I help small businesses put this kind of thing to work without the trial and error.