Prompt Pilot - AI Prompt Optimization Tool

🚀 Meta Prompt Engineering✨ RCTCEG Framework

Based on Meta Prompt engineering technology, intelligently optimize your AI prompts for better response quality. Uses the professional RCTCEG framework (Role-Context-Task-Constraints-Examples-Guidelines) for more precise AI understanding.

💡 Meta Prompt: Guide AI to generate high-quality professional prompts through structured prompt design

Enter Your Prompt

Enter a prompt and click optimize

🧠 Prompt Engineering Knowledge Base

Master professional prompt design techniques to unlock the unlimited potential of AI. From basic principles to advanced techniques, comprehensively improve your AI collaboration efficiency.

🎯RCTCEG Framework

Role

Define AI's identity and expertise, e.g., "You are a senior product manager"

"You are a UX designer with 10 years of experience"

Context

Provide relevant background information and specific scenarios

"We are designing a user interface for a mobile payment app"

Task

Clearly define the specific task objectives

"Please analyze usability issues in this interface and provide improvement suggestions"

Constraints

Set output format, length, style and other constraints

"Please provide no more than 5 bullet points"

Examples

Provide specific examples of expected output

"Example: 1. Navigation buttons too small, suggest increasing to 44px"

Guidelines

Provide behavioral guidelines and evaluation criteria

"Please evaluate based on Nielsen's 10 usability principles"

📝Prompt Types

📋

Instructional

Directly instruct AI to perform specific operations

🎭

Role-Playing

Let AI answer by playing specific roles

🔗

Chain of Thought

Guide AI to reason and think step by step

🎯

Few-Shot Learning

Teach AI to understand tasks through examples

✨Best Practices

Clarity Principle

✓Use specific and clear language
✓Avoid ambiguous expressions
✓Provide sufficient context

Structured Design

✓Use numbering and bullet points
✓Organize content with clear logic
✓Describe complex tasks step by step

Iterative Optimization

✓Adjust prompts based on output results
✓A/B test different versions of prompts
✓Continuously record and analyze effects

⚠️Common Mistakes

✗Prompts too simple, lacking specific guidance

✗Asking AI to complete too many tasks at once

✗Not providing sufficient background information

✗Ignoring standardized output format requirements

✗Over-relying on AI without verifying output results

🚀Advanced Techniques

Temperature Control

Control AI response creativity and consistency

Use high temperature (0.7-0.9) for creative tasks, low temperature (0.1-0.3) for analytical tasks

Tree of Thoughts

Let AI explore multiple solution paths

Generate 3 different solutions, then evaluate pros and cons of each

Reverse Prompting

Clarify expectations through negation

Don't use technical jargon, don't exceed 200 words

Meta Prompting

Let AI generate and optimize prompts

Please generate a better prompt for me to complete this task

🛠️ Recommended Tools and Resources

🤖 AI Platforms

• OpenAI GPT-4/ChatGPT
• Claude (Anthropic)
• Google Bard
• Microsoft Copilot

📚 Learning Resources

• Prompt Engineering Guide
• OpenAI Cookbook
• Papers with Code
• AI Community

🔧 Helper Tools

• PromptPerfect
• AI Prompt Generator
• Prompt Base
• This Tool 😊

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