SayPro Templates to Use SayPro GPT Prompt Execution Log

The SayPro GPT Prompt Execution Log template would be used to track and record the execution of prompts generated by SayPro’s GPT-based systems, ensuring transparency, accuracy, and performance monitoring for each prompt used in operations.

SayPro GPT Prompt Execution Log

1. Log Overview

• Log ID: [Unique Identifier for the Log Entry]
• Date: [Date of prompt execution]
• Time: [Time of execution]
• Logged By: [Name of the person or system logging the entry]
• Prompt Category: [Category of the task or prompt (e.g., customer support, training, analysis)]

2. Prompt Details

• Prompt ID: [Unique identifier for the prompt, if applicable]
• Prompt Description:
  A brief description of the prompt executed, such as its purpose, context, and intended outcome (e.g., “Generate customer service response for query on order status”).
• Prompt Text:
  The exact text or query used to trigger the GPT system (e.g., “What is the status of my order #12345?”).

3. Execution Results

• Response Output:
  Include the text or data returned by GPT in response to the prompt.
• Response Quality Assessment:
  Evaluate the quality of the response (e.g., relevant, accurate, appropriate, etc.). This can be done using a rating scale (e.g., 1-5) or a simple “Good,” “Average,” or “Poor” assessment.
• Response Accuracy:
  Was the generated output correct, or were there any inaccuracies? If applicable, provide specific details or references to verify accuracy.

4. Prompt Execution Performance

• Execution Time:
  How long did it take for the GPT system to generate the response? (Include start and end time if needed.)
• Resources Used:
  If applicable, record system resources or compute power utilized during the prompt execution (e.g., CPU usage, memory usage, etc.).
• Any Errors or Failures:
  Note any errors or issues encountered during execution (e.g., failure to generate a response, timeout, incomplete output).

5. User Feedback & Interaction

• User Engagement:
  How did the user interact with the response? Were there follow-up queries or clarifications needed?
• User Satisfaction:
  If available, record any direct user feedback on the quality of the GPT output.
• Adjustments or Revisions:
  If any modifications were made to the original prompt or response after user feedback, document them here.

6. Follow-up Actions

• Next Steps:
  Describe any follow-up actions that need to be taken based on the generated response (e.g., escalating the case, providing additional information, revising the model).
• Model Improvements:
  If the prompt execution log reveals patterns that suggest potential improvements to the model or system, note them here (e.g., “Adjust model to handle specific terminology” or “Improve response time”).

7. Summary & Observations

• General Observations:
  Summarize any important trends or takeaways from this prompt execution, such as recurring issues or patterns that need attention.
• Suggested Improvements:
  Offer suggestions for future iterations of the prompt or system modifications based on execution performance or user feedback.

8. Attachments (Optional)

• Attach any relevant documents, screenshots, logs, or other supporting materials related to the prompt execution.
• This could include screenshots of errors, detailed reports, or logs from the system that were important to the execution.

Example Entry:

1. Log Overview

• Log ID: GPT-00123
• Date: May 21, 2025
• Time: 2:30 PM
• Logged By: John Doe
• Prompt Category: Customer Support

2. Prompt Details

• Prompt ID: 00567
• Prompt Description: Generate a polite and professional response to a customer asking for the status of their order.
• Prompt Text: “Can you please update me on the status of my order #45678?”

3. Execution Results

• Response Output: “Thank you for reaching out! Your order #45678 is currently being processed and is expected to ship within the next 24 hours. We appreciate your patience!”
• Response Quality Assessment: Good
• Response Accuracy: Accurate. The order status provided aligns with the current system data.

4. Prompt Execution Performance

• Execution Time: 2 seconds
• Resources Used: Low CPU, moderate memory usage
• Any Errors or Failures: No errors encountered.

5. User Feedback & Interaction

• User Engagement: The user acknowledged the response and did not require additional clarification.
• User Satisfaction: Positive feedback received from the customer; no further queries.
• Adjustments or Revisions: None needed for this prompt.

6. Follow-up Actions

• Next Steps: No immediate follow-up action needed.
• Model Improvements: Continue monitoring for any customer dissatisfaction trends related to similar prompts.

7. Summary & Observations

• General Observations: The response was well-received and accurate, with minimal time required to generate the output.
• Suggested Improvements: No changes required at this time.

8. Attachments (Optional)

• N/A

This GPT Prompt Execution Log template will help you track prompt results, performance, and user feedback effectively. It allows you to ensure the quality of outputs and identify any necessary improvements for future prompt executions.