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Prompt Engineering Basics: How to Get Better Results from AI

Learn a simple prompt structure based on task, context, constraints, examples, and output format.

Mehdi Ahmadi Sep 13, 2026 7 min 8 views
Prompt Engineering Basics: How to Get Better Results from AI

Better AI results usually come from clearer thinking, not from secret prompt tricks.

Start with the task and context

Tell the AI what you want it to do and why. A prompt such as "summarize this" can be improved by specifying the audience, purpose, length, and information that must be preserved.

Context can include the reader, the background of the task, the source material, the tone, or the level of detail. Only provide information that is safe and necessary.

  • Task: what should be done?
  • Context: what should the model understand?
  • Audience: who will use the result?

Add constraints and a useful output format

Constraints help control length, tone, scope, and exclusions. Output instructions can request a table, checklist, short explanation, or structured draft.

Prompting is usually iterative. Review the first response, identify what is missing, and ask for a focused revision instead of restarting with an unrelated prompt.

  • Set a length or scope.
  • Ask the model to distinguish facts from assumptions.
  • Request a format that fits the real task.
  • Iterate based on specific weaknesses.

Conclusion

A strong prompt clearly communicates the task, relevant context, constraints, and the required output. The final step is always human review.