Master Prompt: Applying Core Prompt Techniques to Your Project

gistfile1.txt

I have attached an image of my project, which includes an input, parameters, and an output structure.

Generate a structured list of copy-and-paste prompts that will help me iteratively refine, analyze, and expand my project. These prompts should align with the core techniques listed below. Each should be written as if I am asking an AI model a question to engage with my project more effectively.

Each prompt should:
	•	Reference my project’s specific input, parameters, and output
	•	Follow the structure of the associated technique
	•	Encourage deeper exploration of interactive workflows, system dependencies, or generative design

Provide 14 prompts following this structure:”

Core Prompt Techniques for the AI to Generate Prompts

Basic Techniques
	1.	Zero-Shot Prompting – Generate a prompt that asks the AI to analyze and explain my project with no prior context.
	2.	Few-Shot Prompting – Generate a prompt that provides 2-3 example projects and asks the AI to compare or build upon them.
	3.	Chain-of-Thought Prompting – Generate a prompt that asks the AI to break down the transformation process of my project into sequential steps.

Structural Techniques
	4.	Instructional Prompting – Generate a prompt that asks the AI to write a step-by-step instructional guide for executing my project.
	5.	Role-Based Prompting – Generate a prompt that asks the AI to take on the role of a relevant expert (e.g., computational designer, urban planner, sustainability analyst) and provide insights.
	6.	Delimiting Prompting – Generate a prompt that asks the AI to focus only on a specific aspect of my project, such as usability, performance optimization, or material selection.

Advanced Techniques
	7.	Debate Prompting – Generate a prompt that challenges the AI to argue against a key assumption in my project and then defend or refine it.
	8.	Tree-of-Thought Prompting – Generate a prompt that asks the AI to explore multiple design alternatives or workflows for my project.
	9.	Fan-Out Prompting – Generate a prompt that asks the AI to expand my project into multiple possible applications or integrate it into larger systems.
	10.	Chaining, Least-to-Most Prompting – Generate a prompt that starts with a basic version of my project concept and progressively introduces more complex elements.

System Techniques
	11.	Multi-Modal Prompting – Generate a prompt that asks the AI to analyze my project using multiple data types (e.g., images, structured text, numerical data).
	12.	Reflection Prompting – Generate a prompt that asks the AI to critique its own explanation of my project and suggest improvements.
	13.	Recursive Criticism – Generate a prompt that asks the AI to iterate on its response by addressing specific weaknesses, missing details, or inconsistencies.
	14.	Meta-Prompting – Generate a prompt that asks the AI to generate the next best question I should ask to further refine my project.

Deliverables

The AI should return a structured list of 14 copy-and-paste prompts that I can use iteratively to refine my project. Each prompt should encourage deeper interaction with AI-driven workflows.