A prompt is the instruction you give an AI tool. Clear prompts reduce unnecessary back-and-forth, but they cannot guarantee a perfectly accurate answer. Good prompting starts with defining the job.
A straightforward prompt formula
Describe four things: the task, the context, the constraints and the output format. For example: “Explain phishing to a first-time smartphone user. Use plain English, include three signs to look for and keep the answer under 150 words.” This is more useful than simply writing “Explain phishing.”
- Task: what should be done?
- Context: who is this for and why?
- Constraints: length, style, and what to avoid.
- Format: paragraph, checklist, table or steps.
Improve the first draft
When the response misses the point, tell the tool what to change. You can ask for shorter wording, more examples, or a different reading level. For research, request sources and open them yourself rather than relying only on links or citations generated by the model.
- Ask for missing assumptions to be stated.
- Request two alternatives and compare them.
- Edit the result for accuracy and your own voice.
Recognize the limits
Prompts cannot force a tool to know information it lacks. A detailed instruction may still produce an incorrect fact. Do not treat AI output as personalized medical, legal or financial advice without an appropriately qualified professional.
- Double-check time-sensitive details.
- Never include secrets just to improve an answer.
- Use original sources when accuracy matters.
Task + context + constraints + format is a useful starting template. Review the result before using it.
This article is for general educational purposes. Verify important information with primary sources or relevant qualified professionals.