1. Be Explicit About the Context and Language:
   • Clearly state the context of your request. For example, "I'm writing a Python script and need help with..." or "I have a multiline string in JavaScript that..."
   • Specify the programming language you're referring to in your question or snippet, especially if it's part of a larger piece of code where the language isn't immediately obvious.
2. Use Proper Coding Conventions:
   • Format code snippets using proper syntax and coding conventions of the language you're working with. For instance, Python uses indentation, while JavaScript uses semicolons and braces.
   • Use triple backticks ` to enclose multiline code snippets in markdown or supported platforms to preserve the format.
3. Multiline Strings:
   • For multiline strings, if you're on a platform that supports code block formatting, use the appropriate syntax to create a block (like triple backticks in Markdown).
   • Indicate the start and end of a multiline string, using quotes or other language-specific indicators.
4. Describing Code Snippets:
   • When describing what the code does, provide comments within the code snippet or explain before or after the snippet. Comments in the code can be prefaced with # for Python, // or /* */ for JavaScript and other C-like languages.
5. Use Code Blocks for Clarity:
   • For longer code snippets or when context is vital, use code blocks to separate code from regular text, which makes it easier to identify the snippet's boundaries.
6. Provide Clear Instructions for Code-Related Tasks:
   • When asking for help with debugging or writing a specific function, provide clear details on what the function should do, any specific requirements (like parameters and return values), and any errors you're encountering.
7. Clarify Variables and Data Types:
   • Clearly mention the expected data types and the role of variables within your snippet. Ambiguity in variable naming or data types can lead to confusion.
8. Use Correct Terminology:
   • Make sure you use the correct terminology for concepts and constructs in your question. Misuse of terms can lead to misinterpretation.
9. Show Examples:
   • If possible, show examples of the input and expected output. This can be particularly useful when explaining the functionality you wish to implement or debug.
10. Use Natural Language for Questions:
    • For questions that are not about code, but rather about concepts or advice, phrase them clearly and concisely in natural language. Avoid overly complex sentences, and be direct about what you want to know.

By following these formatting guidelines, you can create prompts that are easier for GPT to interpret and more likely to yield accurate and helpful responses.