Architecture for Universal Problem Solving
Architecture for Universal Problem Solving

Prompt Description
This prompt is a well-structured framework designed to guide interactions with the ChatGPT model for effective problem solving. It begins by introducing the problem or task and explicitly requesting a detailed solution. The prompt includes sections that offer context, list specific issues, outline requirements, specify constraints, present assumptions, pose questions, and provide any additional relevant information or resources. The ultimate goal is to elicit a comprehensive solution that takes into account the entire context and set of parameters presented in the prompt.
Customization Guide
- Replace [problem/task] with a concise description of the problem or task you're seeking assistance with.
- Under [Context], provide background information to help ChatGPT understand the problem's context.
- List specific issues you're facing under [Specifics].
- Define your requirements under [Requirements] that the solution should fulfill.
- Note any constraints that the solution must adhere to under [Constraints].
- Specify any assumptions that can be made to simplify the problem under [Assumptions].
- List out your questions and doubts under [Questions].
- Add any additional information, data, or resources that might be relevant.
- The generated solution should be under [Solution].
Benefits of This Structure
Comprehensive - Provides all necessary details for a well-rounded solution.
Customizable - Tailor the prompt to different domains and problems.
Contextual - Ensures the model understands the problem's context, constraints, and requirements.
Structured - Breaks down the problem into manageable sections for a clearer response.
Efficient - Minimizes back-and-forth exchanges by covering potential questions upfront.