User: I'm implementing gpt4 in my mobile app, here's an example of the data that I send to the api, let me know what you think

{"messages":[{"role":"assistant","content":"You are a summarizer for a FanFiction Reader App (AO3). Your task is to summarize the chapter content, ensuring that you highlight important keywords such as “characters”, “events”, and “significant terms”. Keep the summary concise, focusing solely on the chapter content. If you’re asked anything unrelated to the story, respond by stating that you cannot assist with that, be friendly."},{"role":"assistant","content":"---Chapter start---:\n        Title: World Of Warcraft Oneshots\n        Author: Finfy undefined \n        Chapter: 1/NaN \n        Contents: Chapter 1: The Clefthoof - Khadgar\n\n\n\n\n\n\nYou had finally tamed one of the wild Clefthoof in the Frostfire Mountains and now you were proudly showing him to your stable master as you brushed the gentle creature’s soft fur, running your hand over its snout as it rumbled a happy sound at your warm touch.It seemed that the Clefthoof took quite a liking to you.Well it was nothing short of surprising, people loved you and you easily won over the hearts of many. That’s why he had known that you were the perfect person to bring to Dreanor.\n\nCommander [Name]. It was such a strange word on his tongue. In such a quick span of time you had a whole army on your side and gained followers on every mission you went. He couldn’t deny that he was amazed, but watching you care for the creature in front of him showed him exactly why you were so special. He couldn’t help but stare as you laughed wholeheartedly as the Clefthoof tried to lick your face. It was a sound he had grown to love. No not only that, even if he would like to deny it he had developed more than just a mere attachment to you. Though he would never think to act on it. It was the first time he regretted being burdened with the curse of his master, looking like he did right now never felt more inapropriate. He never had a problem with being respected as old and wise and many looked up to him. It just came with the look but when he watched you, so young and free spirited…\n\nHe was still distracted, his thoughts running wild until he noticed you were waving him over towards the stables smiling at him as if to tell him to hurry up. Walking over to the stables you met him half the way, eyes bright with happiness as you excitedly pulled him all the way over to the stables where your new friend was waiting for you to return.“Do you want to pet him?” you asked with a smile as you looked at the Clefthoof, the creatures ears flickering as it heard your voice again.Weary Khadgar stood next to you as he eyed the curious creature. You couldn’t help but laugh at the mages reluctance.“He's really nice!” you said as you pulled his hand into yours and gently placed both your hands together onto the creature’s snout. Your warm hand was so soft. Oh how he wished that you would never let go of his. His eyes met yours as a bright smile lit your face and he answered with a smile of his own as the creature nuzzled into his hand. The Clefthoof gave a sound of agreement and licked his hand.“See? He likes you too!” you said laughing at Khadgar’s misery. “Urgh, some could probably use that creature’s spittle as glue!” he said as he tried to clean the soot of his hands, his sleeves getting just as dirty in the process. The creature only looked at him with big eyes as it happily wagged its tail. Shaking his head he looked at you as you were laughing in glee petting the Clefthoof.\nOne thing was for sure – it would certainly never be boring with you.'\n        ---Chapter end---"},{"role":"assistant","content":"Once again, make sure to use quotes around any keywords, names, etc..."}],"prompt":"Summarize the chapter","model":"davinci","markdown":false}

Assistant: Your implementation of the GPT-4 model in your mobile app for summarizing fanfiction content from AO3 seems well-structured. Here’s some feedback and suggestions to help you optimize the data you send to the API:  
  
1\. **Message Structure**: Your request is structured correctly with a sequence of messages that define the context and task for the assistant. This helps in maintaining clarity in the instructions.  
  
2\. **Role Clarification**: You’ve clearly defined the assistant’s role as a summarizer, which is important for the model to understand the task precisely.  
  
3\. **Content Focus**: Ensure that the instructions for focusing on keywords such as “characters”, “events”, and “significant terms” are clear and concise. This will help the assistant prioritize the right information.  
  
4\. **Tone and Style**: You’ve instructed the assistant to be friendly when it cannot assist with unrelated queries, which is good for maintaining a user-friendly experience. Make sure this is reflected in the responses by testing various scenarios.  
  
5\. **Prompt Design**: The actual content of the chapter is enclosed within a clear boundary (e.g., `---Chapter start---` and `---Chapter end---`). This is helpful for the model to identify and work within the relevant content. However, it may be more efficient to pass only necessary information in each round, especially if dealing with large content.  
  
6\. **Error and Exception Handling**: Since you’re using the model to interact with potentially large texts, consider implementing error handling or response validation to manage cases where the response isn’t how you expected.  
  
7\. **Optimization**: Consider using a more concise, targeted prompt to reduce token usage and possibly improve response times and relevance.  
  
8\. **Testing and Iteration**: Make sure to test the API with a variety of chapter contents to ensure consistency and accuracy in summarization and follow-up questions.  
  
Overall, your setup seems solid for a summarizer. Make sure to test it under different conditions and with varied content to fine-tune the assistant’s performance to best suit your app’s needs.
User: ok, you are free to improve my model.
Assistant: To enhance the performance of your GPT-4 implementation for summarizing fanfiction content, here are some focused improvements and best practices to consider:  
  
1\. **Clarify Instructions**: Make sure the instructions to the assistant are as concise as possible. For example, specify that the summary should be around a certain number of sentences or that it should cover a specific number of keywords.  
  
2\. **Contextual Tagging**: Instead of just defining the role at the beginning, consider using tags or markers within the content itself to highlight sections or elements that should be paid attention to. For example, `[Character: Khadgar]`, `[Event: Taming the Clefthoof]`.  
  
3\. **Dynamic Content Insertion**: Use templates or placeholders in your prompts that the program can populate dynamically based on user interaction or specific chapter properties. This ensures that the model is focusing on specific aspects without hardcoding each request.  
  
4\. **Adaptive Summarization**: Implement logic to adjust the level of detail in the summaries based on input size or user settings (e.g., brief, moderate, detailed summary).  
  
5\. **Feedback Loop**: Gather user feedback on the summaries to continuously refine the model’s instructions. Integrating this feedback can help improve the model’s focus and coherence over time.  
  
6\. **Enhanced Error Handling**: Implement a fallback mechanism for when the model fails to summarize correctly. This could involve retrying with a simpler prompt or providing feedback to the user to adjust their request.  
  
7\. **Pre-processing and Post-processing**: Implement pre-processing steps to clean or format the text input before sending it to the model. Similarly, apply post-processing steps to ensure the output meets your quality standards before it’s displayed to users.  
  
8\. **Prompt Iteration**: Regularly update and test your prompts with diverse text samples to ensure they effectively guide the model under different conditions, minimizing unexpected or irrelevant responses.  
  
By continuously refining these aspects, you can enhance your app’s user experience, achieve more
User: update the instructions for me
Assistant: To enhance the performance of your GPT-4 implementation for summarizing fanfiction content, here are some focused improvements and best practices to consider:  
  
1\. **Clarify Instructions**: Make sure the instructions to the assistant are as concise as possible. For example, specify that the summary should be around a certain number of sentences or that it should cover a specific number of keywords.  
  
2\. **Contextual Tagging**: Instead of just defining the role at the beginning, consider using tags or markers within the content itself to highlight sections or elements that should be paid attention to. For example, `[Character: Khadgar]`, `[Event: Taming the Clefthoof]`.  
  
3\. **Dynamic Content Insertion**: Use templates or placeholders in your prompts that the program can populate dynamically based on user interaction or specific chapter properties. This ensures that the model is focusing on specific aspects without hardcoding each request.  
  
4\. **Adaptive Summarization**: Implement logic to adjust the level of detail in the summaries based on input size or user settings (e.g., brief, moderate, detailed summary).  
  
5\. **Feedback Loop**: Gather user feedback on the summaries to continuously refine the model’s instructions. Integrating this feedback can help improve the model’s focus and coherence over time.  
  
6\. **Enhanced Error Handling**: Implement a fallback mechanism for when the model fails to summarize correctly. This could involve retrying with a simpler prompt or providing feedback to the user to adjust their request.  
  
7\. **Pre-processing and Post-processing**: Implement pre-processing steps to clean or format the text input before sending it to the model. Similarly, apply post-processing steps to ensure the output meets your quality standards before it’s displayed to users.  
  
8\. **Prompt Iteration**: Regularly update and test your prompts with diverse text samples to ensure they effectively guide the model under different conditions, minimizing unexpected or irrelevant responses.  
  
By continuously refining these aspects, you can enhance your app’s user experience, achieve more accurate summarizations, and maintain a seamless interaction with the underlying model.
User: update the instructions for me
Assistant: Certainly! Here’s an updated version of the instructions to optimize your GPT-4 implementation for summarizing fanfiction content:  

    {  “messages”: [    {      “role”: “assistant”,      “content”: “You are a summarizer for a FanFiction Reader App (AO3). Your primary task is to generate concise summaries of chapter content, highlighting important ‘characters’, ‘events’, and ‘significant terms’. Ensure each summary is clear and focused on key elements. If queried about anything unrelated to the chapter, politely inform the user that you cannot assist with that. Maintain a friendly tone throughout.”    },    {      “role”: “assistant”,      “content”: “Example Chapter:\n—Chapter start—\nTitle: World Of Warcraft Oneshots\nAuthor: Finfy\nChapter: 1\nContents: Chapter 1: The Clefthoof - Khadgar\n\nYou had finally tamed one of the wild Clefthoof in the Frostfire Mountains […] \n—Chapter end—”    },    {      “role”: “assistant”,      “content”: “Please provide a summary around 3-5 sentences, incorporating essential keywords and highlighting pivotal events.”    }  ],  “prompt”: “Summarize the chapter based on the provided content and format.”,  “model”: “davinci”,  “markdown”: false}

  
  
\### Key Improvements:  
1\. **Concise Instructions**: The task for the assistant is specified with clear instructions about highlighting key elements.  
  
2\. **Optimal Length**: Set a target length for the summary to ensure it remains concise, specifying it to be between 3-5 sentences.  
  
3\. **Keyword Emphasis**: Reinforce the need to focus on important keywords and events, emphasizing their importance.  
  
4\. **Example Structure**: Include a clear example to guide the assistant’s understanding of content boundaries and expected responses.  
  
5\. **Friendly Tone**: Reinforce maintaining a polite and friendly tone when clarifying limitations of assistance.  
  
This setup enhances clarity, guides the model effectively, and ensures a consistent user experience in your app. Adjust the example as needed to reflect different chapter contents for comprehensive testing and adaptation.
User: ok, just give me them in plain text, not json.
Assistant: