Contextual Prompting
Contextual Prompting is a prompt engineering technique where you provide the AI with relevant background information, specific instructions, tone and objectives within your prompt. This ensures the AI generates responses that are not just accurate but also tailored to your needs and context.
Steps for Effective Contextual Prompting

1. Define the Context or Background
- Clearly state the subject or scenario you want the AI to address.
- Example: “Provide a summary of all the historical events leading to French Revolution"
2. Specify the Tone or Style
- Indicate how you want the response to sound like formal, conversational, simple. It makes the output more accurate according to our need.
- Example: “Present the information in a formal and academic tone”
3. Include Specific Details or Constraints
- Add any particular focus areas, limitations or aspects you want to be emphasized.
- Example: “Focus on the economic factors and key figures involved”
4. State the Objective or Purpose
- Make clear what you want to achieve with the response.
- Example: “The goal is to understand the causes of the French Revolution”
Key Tips:
- Be specific and concise: Too much or too little context can confuse the AI.
- Iterate as needed: Review the AI’s output and refine your prompt for even better results.
- Use real examples: When possible, include sample data or previous outputs for the AI to mimic or reference.
Detailed Example
Prompt Construction:
“Summarize the plot of ‘Pride and Prejudice’ by Jane Austen.
Use a literary and engaging tone.
Mention the main characters and key plot points.
The goal is to provide a brief and engaging summary of the novel.”
Result: The AI will generate a summary that is not only accurate but also engaging, highlights the main characters and covers the key plot points, all in a literary style because you provided all the necessary context.
Lets see some more examples:
Example 1: Educational Context
- Prompt:
“Explain the process of photosynthesis using a simple and educational tone suitable for school children. Focus on the role of sunlight and chlorophyll. The goal is to help students understand how plants make food.”
Example 2: Customer Support
- Prompt:
“You are a customer support agent. Respond politely to this complaint: ‘My order arrived late and damaged.’ Use a helpful and empathetic tone. The goal is to reassure the customer and offer a solution.”
Importance of Contextual Prompting
- Improves Relevance: The AI tailors its output to your specific context, reducing irrelevant or generic answers.
- Reduces Ambiguity: Clear context helps the AI avoid misunderstandings and focus on what matters to you.
- Enables Customization: You can adapt the AI’s style, depth and focus to suit different audiences or requirements.