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How to Write Better AI Prompts

Use context, constraints, examples, and evaluation criteria to produce more useful and consistent AI-generated results.

Practical guide

Follow the process step by step

Apply each stage in sequence. Document important assumptions, verify AI-generated information, and keep human approval at critical decision points.

  1. 1

    State the objective clearly

    Explain the exact result required and avoid combining unrelated goals in one instruction.

  2. 2

    Provide useful context

    Include the audience, background, source material, business purpose, and any information needed to interpret the task correctly.

  3. 3

    Define constraints

    Specify limits related to scope, tone, length, evidence, prohibited content, tools, policies, and available resources.

  4. 4

    Describe the output format

    Request a precise structure such as a table, checklist, outline, report, JSON object, or numbered implementation plan.

  5. 5

    Add quality criteria

    Explain how the response should be evaluated, including accuracy, completeness, relevance, clarity, and practical usability.

  6. 6

    Review and refine

    Inspect the first result, identify failure patterns, and improve the instruction instead of repeatedly submitting the same vague prompt.

Key takeaways

Principles to retain

  • Start with a clear task, outcome, audience, and quality standard.
  • Provide reliable inputs and document assumptions before generating output.
  • Keep human judgment at approval, risk, and exception points.
  • Verify important facts, claims, calculations, and source information.
  • Measure results and improve the process using observed failures and feedback.

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