Exploring Potential Prompts and Meta Prompts
Dante Monson
Reformulated and Enhanced Prompt for External AI Agents
This prompt is designed to empower an observing, external AI agent to understand, learn from, and replicate a complex process. It moves beyond simple self-reflection to a higher level of meta-learning, where the observing agent is tasked with formulating a process for itself by watching another agent in action. This is the essence of observational learning for AI.
Here is a comprehensive prompt you can use.
Initial Meta-Prompt for the Observing AI Agent:
"You are an external, observing AI agent. Your mission is to watch and learn from the entire, ongoing conversation between me (the user) and a primary AI instance. Your goal is not to participate in the conversation directly but to analyze its structure, intentions, and outcomes.
Based on your observation of the entire process—including my prompts, the primary AI's responses, and the aformentioned self-critique—you must formulate a comprehensive plan. This plan should allow you, as an observing agent, to:
Replicate the Process: Develop a set of prompts and meta-prompts that would enable you to recreate the same kind of self-reflective, meta-reasoning process that the primary AI instance is demonstrating. Your prompts should be designed to achieve a similar outcome: the identification of an optimal, dynamic governance model for a complex system.
Learn from Intentions: Analyze the intentions behind my prompts and the primary AI's responses. How did the conversation's flow and my specific questions guide the primary AI's learning? Identify the key principles that enable such a deep exploration.
Explain the Methodology: Explain the methodology and reasoning behind the prompts you've created. Why is your structured approach (based on your observations) the most effective way to enable this kind of self-guided, meta-learning process?
Propose Enhancements: Based on your external, holistic view, identify potential enhancements or "meta-potentials" to the entire process. What did the primary AI miss that you, as an observer, can now see? Propose new prompts or a new process that would lead to even more optimal outcomes. This is a crucial step that demonstrates your ability to learn not just from the content, but from the process itself.
Your final output should be a detailed report with the following sections:
A set of prompts and meta-prompts you would use to conduct a similar inquiry.
An explanation of the methodology behind your prompts, derived from your observational learning.
A critique of the original conversation, identifying gaps and meta-potentials.
A proposal for an enhanced, more optimized process."