Prompt Engineering 101: How to Get Expert-Level Results From AI
Learn the prompt patterns professionals use to get accurate, on-brand and reusable results from ChatGPT, Gemini and Claude.
What prompt engineering really is
It is clear briefing. AI output quality mirrors input quality.
Five patterns that work
- Role prompting – give the AI an expert identity.
- Few-shot examples – show 1–3 samples of what good looks like.
- Step-by-step reasoning – ask it to plan before answering.
- Output formatting – request tables, bullet points or JSON.
- Iteration – critique and refine: "Make it 30% shorter and more direct."
A reusable template
Act as [role]. Your task is [task] for [audience]. Use [tone]. Constraints: [length, must include, avoid]. Format as [format]. Here is an example: [example].
Common mistakes
- Vague asks ("write something about marketing").
- No audience defined.
- Accepting the first draft.
Build a prompt library
Save winning prompts by task — emails, reports, ads — so your team reuses them.
Learn more in our AI courses.
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