What makes a good prompt?

A good prompt is specific, clearly structured, and contains all necessary context information. It uses precise language, defines the desired output format, and employs proven techniques like Few-Shot Prompting or Chain-of-Thought Reasoning.

Which AI model is used for improvement?

We use the highly efficient GPT-4.1-nano model from OpenAI. It was specifically trained for fast analyses and optimizations and offers an excellent balance between speed and quality.

For which AI models can I optimize prompts?

Our tool supports optimization for all common AI models: GPT-4, Claude 3, Gemini Pro, Llama 3, Mistral, Command R+, and many more. Each model has specific strengths that we consider during optimization.

Are my prompts stored?

No, your prompts are not stored. All data is only used for processing and is automatically deleted after the session. Your privacy and intellectual property are protected.

Can I use the improved prompts commercially?

Yes, all improved prompts belong to you and can be used freely, including for commercial purposes. We recommend testing the prompts in practice and adjusting them as needed.

How often can I use the tool?

The tool is free to use with a limit of 10 improvements per hour. This helps us control costs and keep the service available for everyone.

100% Free

AI Prompt Enhancer

Optimize your prompts with cutting-edge prompt engineering techniques for better AI results.

Prompt Input

Enter your prompt and select the target AI model

Your Prompt *

The more detailed your prompt, the better we can optimize it

Target AI Model *

Select the model for which the prompt should be optimized

Enter a prompt and click "Improve Prompt" to begin.

Modern Prompt Engineering Principles

These proven techniques are used to optimize your prompts

Specificity and Clarity

Precise instructions with clear expectations lead to better results. Avoid ambiguity and define exactly what you want.

Few-Shot Prompting

Examples in the prompt show the model exactly what kind of output is expected. 2-3 examples are often enough.

Chain-of-Thought (CoT)

For complex tasks, it helps to instruct the model to explain its thinking process step by step.

Structured Outputs

Define the desired format (JSON, Markdown, lists) for consistent and easily processable results.

Role-Based Prompting

Assign the model a specific role or expertise to improve response quality in specialized areas.

Meta-Prompting

Use the model itself to create better prompts or iteratively improve existing prompts.

Pro Tip

The best prompts are created through iteration. Use our tool to improve your prompt, then test it with your AI model and refine it as needed.

Frequently Asked Questions

Everything you need to know about our AI Prompt Enhancer

Changelog

Die neuesten Updates und Verbesserungen unseres AI Prompt Enhancer

v1.1.0August 10, 2025

Upgrade to GPT-5

• Switched to the latest GPT-5 model for even better results

v1.0.1July 23, 2025

Changelog Added

• Added changelog section to the Prompt Enhancer

v1.0.0July 22, 2025

Initial Release

• Initial release of the AI Prompt Enhancer
• Support for 15+ AI models including GPT-4, Claude 3, Gemini Pro, and Llama 3
• Intelligent prompt analysis with detailed evaluation
• Automatic application of 6 modern prompt engineering techniques
• Explanations for all improvements for better understanding