Automated Prompt Engineering (APE)

Let AI iteratively refine your prompt to achieve optimal performance.

Optimization Task

Configure the Automated Prompt Engineering process. Results are pre-populated.

Optimization Results

The outcome of the automated prompt engineering process.

Final Optimized Prompt

This is a pre-loaded, highly optimized dummy prompt. It showcases perfect clarity and conciseness for the goal of 'enhancing user engagement'. It uses strong verbs and a friendly tone.

Overall Score Improvement

Iteration Breakdown

Prompt Version:

This is a pre-loaded, highly optimized dummy prompt. It showcases perfect clarity and conciseness for the goal of 'enhancing user engagement'. It uses strong verbs and a friendly tone. Overall Score: 96.3

Explanation/Details:

Performance Summary

The automated process simulated 3 iterations to refine the prompt. This was based on the goal: "enhancing user engagement" using the "LLM as Judge" method. The final Overall Score achieved was 96.3. Review the iteration breakdown for specific changes.

Prompt Forge

Optimization Setup & Goal

Generator Model Configuration

Evaluator Model Configuration (UI Only)

Final Optimized Prompt

Overall Score Improvement

Iteration Breakdown

Iteration 1Overall Score: 72.5

Iteration 2Overall Score: 85.1

Iteration 3Overall Score: 96.3