Query:  partner—one that enables me to ramble freely while it organizes my ideas into actionable insights? I want to push the limits of GPT’s capabilities with advanced techniques, ensuring it provides depth, creativity, and practical solutions. Avoid repeating previously discussed methods like role-playing, chain-of-thought prompting, mind mapping, summarizing, categorizing, output primers, persona modifiers, conclusions, or delimiters. Instead, expand with new advanced strategies, such as:
	1.	Multi-phase prompts: Guide GPT through distinct stages like ‘Explore,’ ‘Connect,’ ‘Synthesize,’ and ‘Apply’ to build depth at each phase. For example:
	•	Start with, “What are the potential solutions to this problem?”
	•	Then ask GPT to ‘Connect’ by exploring relationships between ideas.
	•	Follow with ‘Synthesize,’ identifying patterns or trends.
	•	Conclude with ‘Apply’ by proposing actionable solutions.
	2.	Iterative prompting: Refine ideas over multiple exchanges by encouraging GPT to self-improve through feedback loops. For instance, you can start with, “What are the main challenges in this area?” and then respond with, “Can you elaborate further on the second challenge mentioned and suggest solutions?”
	3.	Contextual priming: Subtly embed context or goals into the prompt to guide GPT’s responses. Examples:
	•	“In the context of sustainable development, what are the possible solutions?”
	•	“Given recent advancements in technology, how could this idea be applied?”
	4.	Integration with external frameworks: Use brainstorming tools like SWOT analysis, systems thinking, or mind palaces. Examples:
	•	“What are the strengths, weaknesses, opportunities, and threats in this idea?”
	•	“Can you visualize relationships between these concepts using a mind palace structure?”
	5.	Meta-prompting: Teach GPT to critique and refine its outputs by self-referencing. For example:
	•	“How could you improve your previous response to make it more concise and actionable?”
	•	“What adjustments would you make to your ideas to align them with real-world scenarios?”
	6.	Scenario-based prompts: Simulate real-world roles or situations to explore ideas further. Examples:
	•	“If you were leading this initiative, what steps would you take to implement it?”
	•	“How would you address critics of this proposal and persuade stakeholders?”
	7.	Dynamic prompting strategies: Evolve the conversation in layers. Begin with broad questions like, “What are the potential solutions to this issue?” then move to:
	•	‘Elaborate’ by diving deeper into promising ideas.
	•	‘Refine’ based on feedback or new considerations.
	•	‘Apply’ to suggest real-world implementations.
	8.	New techniques for depth: Explore entirely new strategies, such as:
	•	Using analogical reasoning to draw comparisons to similar challenges.
	•	Incorporating ethical considerations to evaluate long-term impacts.
	•	Enabling collaborative prompts where GPT builds on human ideas interactively to co-create strategies.

Build on these methods to ensure GPT’s responses are highly original, deeply insightful, and always pushing boundaries. Add specific examples and frameworks that encourage new angles, advanced organization, and actionable outputs while remaining novel in each interaction.”
Subject: computer science
Intent: Literature Understanding