- Add any relevant background or reference material directly into the prompt to guide the model’s response.
- Also, be sure to clearly explain how the model should apply that context when generating its answer.
Prompt Design Strategies
Context Strategies
Add background details, references, or brand-specific data to help the model generate more targeted responses.
Don’t assume the model knows everything it needs. Instead, add helpful background details or instructions directly in the prompt. Supplying context gives the model a better understanding of your goals, limitations, and the specific problem it needs to solve.
For example, the following prompt asks the model to provide router troubleshooting advice:
Example Prompt:
Response:
The response provided sounds like general advice and doesn’t directly address this specific printer model or its error message behavior. To make the response more accurate and relevant, you could include details from the printer’s official troubleshooting guide—such as how it handles “Paper Jam” alerts or what might trigger them falsely. Providing that context helps the model give targeted, brand-specific instructions rather than just standard tips.
Example Prompt:
Response:
📝 Summary: