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Effective AI Prompt Writing Using the Pentagon Model

In this course you will move from random requests to professional prompts through five connected pillars: role, context, data, task & output, and constraints.

Lessons: 8 Completed: 0/8 Path: Progressive
🧪 Hands-on lab, in-page
🤖 Try prompts on a real AI
🎓 Shareable certificate
🎯 Focused, no fluff
Pentagon Model

Pillar 4: Task & Outputs

A practical course for building clear and powerful AI prompts

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You mastered all five pillars and applied them hands-on. Your certificate is ready — claim it and share it.

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The fourth pillar is Task & Output — deliberately merged into one, because "what you want" and "in what shape" are two faces of a single request. Here you state the action (analyze, write, compare…) and the output shape that arrives ready to use.

Core principle
A request without an output shape arrives as a text blob you must reorganize. Asking for clear outputs (summary, table, risk list, conditional recommendation) makes the result structured and paste-ready.

Ask for your outputs explicitly

  • An executive summary up front.
  • An organized table.
  • A notes / risks list.
  • A conditional recommendation when needed.
  • Questions about missing data.
Vague
Review this plan.
Task + output
Review this plan and give me: (1) an executive summary, (2) a strengths/weaknesses table, (3) three actionable recommendations.
Pro tip
Number your outputs (1, 2, 3). Numbering forces the AI to cover each one and makes completeness easy to check.
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Ask the Coach

An AI assistant that answers based on this lesson. Ask freely.

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Check Your Understanding (2 questions)

Question 1

Why does Task & Outputs combine the action and output shape?

💡 Why: Stating what + in what shape together yields a paste-ready result, so action and outputs are one pillar.
Question 2

"Give me the result in a 3-column table" mainly specifies:

💡 Why: Specifying the shape (a 3-column table) is part of Task & Outputs.
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