As a language model, ChatGPT has the ability to generate human-like responses to various prompts. However, in order to ensure that its responses are accurate and appropriate, it is important to use a prompt framework. A prompt framework is a set of guidelines that helps to structure the prompts given to ChatGPT, ensuring that the model's responses are consistent and reliable.

There are a few key components to a prompt framework for ChatGPT:

1. Context: Providing context is essential when generating prompts for ChatGPT. The more information it has about the topic or conversation, the better it can respond. This can be achieved by including relevant keywords, previous messages, or even links to external sources.
2. Tone and style: The tone and style of a prompt can greatly influence the type of response that ChatGPT generates. By specifying the tone and style of the prompt, you can help ensure that the model's responses are consistent with your expectations.
3. Length: The length of a prompt can also impact the quality of the response generated by ChatGPT. Providing a clear and concise prompt can help to ensure that the model stays on topic and avoids generating irrelevant responses.
4. Feedback and evaluation: Lastly, it's important to provide feedback and evaluate the responses generated by ChatGPT. This helps to identify any areas where the model may need further training, as well as to identify any biases or inaccuracies in its responses.

Overall, a prompt framework is an important tool for anyone using ChatGPT. By providing context, specifying tone and style, controlling length, and providing feedback, you can ensure that the model generates accurate and appropriate responses. As ChatGPT continues to evolve and improve, a prompt framework will remain an essential component of its success.

Example of a Prompt.. with this specific framework

[Context] + [Tone] + [Length] + [Feedback] = Output.

Write an article about [context: eyecare] in [professional tone] within [500 words] in length. And give feedback