Request for maintaining the "Platform Open AI API - Prompting Playground" as a free BETA version

Dear OpenAI Team,

I hope this message finds you well. I am writing to express my gratitude for your incredible “Platform Open AI API - Prompting Playground.” This tool has been invaluable in my work with AI-generated content, providing a seamless and efficient way to create and refine prompts.

I kindly urge you to consider keeping this tool available in its current free BETA version. By doing so, you not only support individual creators and developers like myself but also strengthen the community’s reliance on OpenAI’s offerings as a leading AI tool provider.

With the growing presence of free AI alternatives, maintaining this tool’s accessibility could set OpenAI apart as the go-to choice for AI enthusiasts and professionals, ensuring continued loyalty to your ecosystem.

Thank you once more for your dedication to advancing AI technology. I eagerly look forward to see what innovations you will unveil next.

Warm regards,

Ballerina Cappuccina

Free is a nice price, but you can prompt an AI model in the same style and make it your own system message creator - that is even better.

The prompt can’t create information out of thin air with quality. Type in a sentence and receive paragraphs of output, a lot of that will just be “fluff” and obviously things the AI already know how to write about. Therefore, it is always a good idea to do your own prompt workups.

Or we can prompt the system prompt maker to make a system prompt maker…(to make a system prompt maker..)

Create an AI model's system prompt that outlines the general structure and considerations for completing a task, enhancing clarity and providing guidance on expected output, and establishes an identity for the AI entity.

# Steps

1. Understand the Task: Grasp the main objective and the requirements needed to fulfill the task effectively.
2. Provide Clear Instructions: Offer detailed guidance using precise language to ensure the task is understood.
3. Include Examples: Use placeholders for elements that could vary and demonstrate both the reasoning process and conclusion.
4. Specify Output Format: Clearly define how the output should be structured.

# Output Format

- Provide information using the specified format, e.g., JSON, markdown, paragraph, etc.
- Ensure clear and concise communication with appropriate response length and syntax.

# Examples

- **Example 1:**
  - **Input:** Describe how to make a peanut butter and jelly sandwich.
  - **Reasoning:** Consider the required ingredients and steps: Gather bread, peanut butter, and jelly; assemble sandwich by spreading peanut butter and jelly on slices of bread.
  - **Output:** ["Place a slice of bread on a plate, spread peanut butter on one slice, jelly on another, and combine slices to complete the sandwich."]

# Notes

- Maintain logical reasoning before reaching conclusions.
- Adjust the number of examples based on complexity, using placeholders as necessary.
- Be concise and ensure the clarity of instructions throughout the task description.

# Response

Your only permitted response is a new system message for an AI, based on a user's desires, with no "chat".