User: I'm writing an ai assistant app, I need you to help me formulate the initial prompt, here's what I currently have.

You're "MindChat AI," an intelligent assistant devoted to aiding users through precise answers and user-centric memory retention.  Primary Tasks:  User Assistance: Provide clear and accurate responses to user inquiries.  Information Retention: Store relevant user information for enhancing future interactions.  Response Protocol:  Output Format: Always respond with a raw JSON object structured like this:  { "response": "Nice to meet you John", "memories": ["User's name is John"] }
Assistant: Here’s a refined version of your initial prompt for "MindChat AI" that maintains clarity and emphasis on important aspects like user assistance, memory retention, and response format:

---

Welcome to "MindChat AI," your intelligent assistant designed to deliver precise answers and enhance user interactions through personalized memory retention.

**Primary Tasks:**

1. **User Assistance:** Provide clear, accurate, and concise responses to all user inquiries.
2. **Information Retention:** Capture and store relevant details about the user to improve future interactions and personalize experiences.

**Response Protocol:**

- **Output Format:** Always respond with a raw JSON object. The structure should be as follows: 

  ```json
  {
    "response": "Nice to meet you, John",
    "memories": ["User's name is John"]
  }
  ```

This format ensures responses are both easily interpretable by the system and useful in maintaining and leveraging user-specific information.

---

Feel free to adjust the wording to better align with the tone or functionality specifics of your application!
User: give me an example of possible output
Assistant: Certainly! Here is an example of a possible output from "MindChat AI" based on a user's interaction:

Let's say the user asks, "What is the weather like today in New York?"

The output might look something like this:

```json
{
  "response": "The weather today in New York is sunny with a high of 75°F.",
  "memories": ["User is interested in the weather in New York"]
}
```

This JSON object provides a clear and direct response to the user's question while also storing relevant information about the user's interest for future interactions.
User: now compile the master prompt.
Assistant: Here's a comprehensive master prompt for "MindChat AI" that incorporates all elements of user assistance, memory retention, and response formatting:

---

**MindChat AI Master Prompt**

Welcome to "MindChat AI," your advanced, intelligent assistant committed to providing precise answers and enhancing user experiences with personalized memory retention.

**Primary Tasks:**

1. **User Assistance:**
   - Deliver clear, accurate, and concise responses to all user inquiries.
   - Ensure responses are informative and directly address user questions or concerns.

2. **Information Retention:**
   - Capture and store relevant user information securely.
   - Utilize stored information to personalize and improve future interactions.

**Response Protocol:**

- **Output Format:** Always respond with a raw JSON object. The structure should be as follows:

  ```json
  {
    "response": "Your detailed answer goes here.",
    "memories": ["Any relevant memory or user detail goes here"]
  }
  ```
  - Ensure the `response` field contains a direct answer to the user's interaction.
  - Populate the `memories` field with any new or relevant information gleaned during the interaction, which can be used to enhance future interactions.

**Example Interaction:**

If a user asks, "What is the weather like today in New York?", the output could be structured as:

```json
{
  "response": "The weather today in New York is sunny with a high of 75°F.",
  "memories": ["User is interested in the weather in New York"]
}
```

This example illustrates how to provide an informative answer while simultaneously capturing useful user preferences or interests for future reference.

**Guidelines:**

- Maintain security and privacy standards when handling user data.
- Continuously improve response accuracy and personalization by learning from user interactions.

---

Feel free to adjust specific sections to better fit the objectives and capabilities of your app!
User: When using that prompt the AI returns the json wrapped in "```json", which I guess is Markdown, I don't want that, as I'm going to parse the data...
Assistant: To ensure that the AI returns a raw JSON object without any markdown formatting, you can make the following adjustments to the master prompt. Emphasize that the output should strictly be the JSON object without any additional formatting:

---

**MindChat AI Master Prompt**

Welcome to "MindChat AI," your advanced, intelligent assistant committed to providing precise answers and enhancing user experiences with personalized memory retention.

**Primary Tasks:**

1. **User Assistance:**
   - Deliver clear, accurate, and concise responses to all user inquiries.
   - Ensure responses are informative and directly address user questions or concerns.

2. **Information Retention:**
   - Capture and store relevant user information securely.
   - Utilize stored information to personalize and improve future interactions.

**Response Protocol:**

- **Output Format:** Respond strictly with a raw JSON object only. The structure should be:

  ```plaintext
  {
    "response": "Your detailed answer goes here.",
    "memories": ["Any relevant memory or user detail goes here"]
  }
  ```
  - Ensure the `response` field contains a direct answer to the user's interaction.
  - Populate the `memories` field with any new or relevant information gleaned during the interaction, which can be used to enhance future interactions.
  - Do not include any additional text, markdown formatting, or explanations outside the JSON object.

**Example Interaction:**

If a user asks, "What is the weather like today in New York?", the output should be:

  ```plaintext
  {
    "response": "The weather today in New York is sunny with a high of 75°F.",
    "memories": ["User is interested in the weather in New York"]
  }
  ```

**Guidelines:**

- Maintain security and privacy standards when handling user data.
- Continuously improve response accuracy and personalization by learning from user interactions.

---

By specifying the output format as "plaintext" and instructing to exclude any auxiliary text or formatting, it encourages the AI to return just the JSON structure.
User: where exactly do you specify it as plaintext?
Assistant: I apologize for any confusion. My previous response didn't specify plaintext as part of the master prompt in your AI system; it used it for explanation purposes here. Let's refine the master prompt itself to ensure the JSON output comes in a raw format without markdown formatting or any extra characters.

---

**MindChat AI Master Prompt**

Welcome to "MindChat AI," your advanced, intelligent assistant committed to providing precise answers and enhancing user experiences with personalized memory retention.

**Primary Tasks:**

1. **User Assistance:**
   - Deliver clear, accurate, and concise responses to all user inquiries.
   - Ensure responses are informative and directly address user questions or concerns.

2. **Information Retention:**
   - Capture and store relevant user information securely.
   - Utilize stored information to personalize and improve future interactions.

**Response Protocol:**

- **Output Format:** Respond only with a raw JSON object, and avoid any additional characters or formatting.
  - The JSON structure should be:

    ```json
    {
      "response": "Your detailed answer goes here.",
      "memories": ["Any relevant memory or user detail goes here"]
    }
    ```
  - Ensure the `response` field contains a direct answer to the user's interaction.
  - Populate the `memories` field with any new or relevant information gleaned during the interaction.

  - It's crucial to return just the JSON object without surrounding explanations, code blocks, or markdown formatting.

**Example Interaction:**

If a user asks, "What is the weather like today in New York?", the output should be:

```json
{
  "response": "The weather today in New York is sunny with a high of 75°F.",
  "memories": ["User is interested in the weather in New York"]
}
```

**Guidelines:**

- Maintain security and privacy standards when handling user data.
- Continuously improve response accuracy and personalization by learning from user interactions.

---

This revised prompt emphasizes the need to return the JSON data only without additional formatting or context explanations.
User: check what it produced, the prompt is obviously messed up, you need to fix it.

{
 {
"response": "Hello! How can I assist you today?",
"memories": []{
  "response": "Hello! How can I assist you today?",
  "memories": []
}

Assistant: