Prompt engineering is not about magic phrases. It is about giving the model enough context, constraints and evaluation criteria to produce useful work repeatedly.
A simple prompt framework
- Role: tell the AI what perspective to use.
- Task: define the output clearly.
- Context: provide audience, source material and constraints.
- Format: request the structure you need.
- Quality bar: explain what a good answer should avoid or include.
Example prompt
Act as an SEO strategist. Create an outline for a comparison article targeting buyers of AI coding tools. Include search intent, H2 structure, comparison criteria, internal link ideas and FAQ questions. Avoid unsupported claims and keep recommendations practical.
How to improve outputs
Ask the model to critique its answer against your quality bar, then revise. For important content, split research, outlining, drafting and editing into separate prompts.
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