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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.

🤖 Coach answers are AI-generated; verify important details.

Check Your Understanding (2 questions)

Question 1

Saud wrote in his prompt 'Give me everything about it in detail'. He received a reply of 598 words, with the questions he needed buried in the middle of it. Why?

💡 Why: The Data was complete in both attempts, seven items with their units, and it did not change by a letter, so the second option describes a gap that never happened. The model is not long-winded by nature either: on the same Data its reply came to 310 words when four numbered outputs were requested. The cause lies in the outputs alone. 'Everything' has no count and no shape, so the model chose the sections and their order. The questions fell into the third section, and a fourth section followed that nobody had asked for.
Question 2

Which of these three lines belongs to the Task & Output pillar?

💡 Why: Output describes what must appear in the answer: its sections and their shape. The third line describes the state of the project, not the answer, so it is Context from lesson three. The second line describes no section of the answer. It gives its size ('300 words') and what is forbidden ('do not write a price'). That is not Output, and its place is the next lesson. The test: if the line says what appears, it is Output; if it says how much, or what is not allowed, it is not.
The recommended next step unlocks only after the correct answer, and your progress is saved on this device.