What Are The Elements Of Prompt Engineering
Here are the core elements of prompt engineering—the building blocks that help you design powerful prompts for AI systems like ChatGPT, InVideo AI, or other generative tools:
1. Objective (Intent)
Define the exact purpose of the prompt.
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What do you want the AI to do? (Explain, write, generate, analyze, summarize, etc.)
2. Context
Provide relevant background information so the AI understands the scenario.
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Example: “You are a professional real estate broker creating a sales video.”
3. Input Data
Include the key details or information the AI must use.
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Example: Property size, price, features, investor details.
4. Instructions
Give clear directions on how the output should be generated.
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Example: “Write in a persuasive tone with short sentences, suitable for social media.”
5. Constraints
Set limits to guide the AI’s creativity.
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Examples:
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Word count: “Keep under 100 words.”
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Style: “Avoid technical jargon.”
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Structure: “Use bullet points for benefits.”
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6. Output Format
Specify the desired structure of the result.
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Examples:
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Video script
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Bullet points
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Storyboard with scene-by-scene breakdown
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7. Examples (Few-Shot Prompting)
Show the AI a sample of what a “good” answer looks like.
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Example: “Here’s a sample Instagram caption for style reference…”
8. Role or Persona
Assign the AI a role to narrow its perspective.
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Example: “Act as a marketing director with 20 years of experience.”
9. Iteration and Refinement
Prompts often improve by tweaking. Re-run, reframe, or layer additional instructions based on output.
10. Evaluation Criteria
Define how you’ll measure if the output is “good.”
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Example: “The video must be compelling enough to generate leads and highlight ROI.”
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