What is the CRISP Prompting Framework?

The CRISP framework—Context, Role, Input, Structure, and Purpose—is a structured approach to AI prompting that ensures clarity and precision in solving complex problems. By clearly defining these elements, AI can generate relevant, actionable, and well-organized outputs.

Step-by-Step Guide

1. Context: Provide background information about the task or problem the AI will address.
2. Role: Define the role the AI should take on, such as advisor, researcher, or customer service agent.
3. Input: Specify the data or information the AI needs to complete the task.
4. Structure: Request a structured format for the output, such as a list, report, or step-by-step guide.
5. Purpose: Clearly state the goal of the task to keep the AI focused on the desired outcome.

Example

"As a customer service agent (role), analyze this customer complaint (context), extract feedback (input), and summarize your response in a clear, actionable format (structure)."

Strengths & Weaknesses

• Strength: Solves complex problems with precision and organization.
• Weakness: May require detailed prompts to achieve desired results.

Use Cases

CRISP prompting is widely used in technical support, research, and report generation, where structured and actionable insights are essential.

How KOLO_AI Can Help

KOLO_AI works with organizations to implement the CRISP framework, ensuring that their AI systems produce relevant, structured, and effective outputs. Using Azure OpenAI, we help businesses tackle complex challenges with confidence.