PrompTessor Documentation

Complete guide to mastering AI prompt optimization and analysis

Refine With Your Feedback

Iteratively refine your optimized prompts with AI-powered feedback loops. Learn how to perfect your prompts with continuous improvement.

After receiving optimized prompt versions from Advanced Analysis, you can provide feedback to further refine them. This creates an iterative improvement cycle powered by AI.

How It Works

1

Run Advanced Analysis

Get AI-generated optimized versions of your prompt

2

Provide Feedback

Tell the AI what to adjust, add, or remove from the optimized version

3

Get Refined Version

Receive an improved version that incorporates your feedback

4

Repeat as Needed

Continue refining until you get exactly what you need

Example Feedback Types

Tone Adjustment

"Make it more professional" or "Add a friendly, conversational tone"

Add Specificity

"Include specific examples" or "Add more technical details"

🎯 Focus Change

"Focus more on X aspect" or "Emphasize Y outcome"

📝 Structure Changes

"Break into bullet points" or "Add step-by-step instructions"

🤖 Model-Specific Optimization

"Optimize for Midjourney", "Adapt for ChatGPT style", "Format for Claude", "Tailor for Gemini", or "Refine for Stable Diffusion"

📏 Length Adjustment

"Make it shorter and concise" or "Expand with more details and context"

🌍 Context Enhancement

"Add industry context" or "Include target audience information"

⚙️ Parameter Tuning

"Add specific constraints", "Include output format requirements", or "Specify expected length"

Best Practices

  • Be specific - Clear feedback yields better results
  • One change at a time - Easier to track improvements
  • Test intermediate versions - Check if changes move in the right direction
  • Save successful iterations - Keep versions that work well