Pentagon Model
Pillar 3: Data
A practical course for building clear and powerful AI prompts
The third pillar is Data — often the line between a professional answer and a guessed one. As in the course template, you tell the AI: "I will give you the following data, text or case…" then place the raw material it will work on: numbers, text, a table, or a case description.
Core principle
The AI does not have your data. Without it, it fills the gap with assumptions — that is where errors are born. Clear data turns the tool from an author into an analyst of your figures.How to provide your data well
- Announce it: start with "Data:" or "The following figures:".
- Separate it visually from the instructions.
- State units and source when needed; do not embellish or omit.
Sharp distinction
Context = "a financing request for a logistics firm". Data = "amount 12M SAR, term 36 months, revenue 28M/31M/35M". The first describes; the second is what gets analyzed.No data
Is this project profitable?With data
Data: cost 500k, expected annual revenue 220k, operating costs 90k. Analyze profitability based only on these figures.Pro tip
Bind the AI to your data: add "rely on these figures only, and state anything missing." This prevents fabrication.
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Check Your Understanding (2 questions)
Question 1
What does the Data pillar mean?
💡 Why: Data is the raw material analyzed. Environment/goal is Context; preventing fabrication is a Constraint.
Question 2
In an analysis prompt, "revenue 28, 31, 35 million" represents:
💡 Why: Raw figures to be analyzed are Data; the situation is Context; who speaks is Role.
The recommended next step unlocks only after the correct answer, and your progress is saved on this device.