[PROMPT] Orchestrating Multi-Agent Cognitive Assemblies in LLMs

[JackaL]

Overview of Multi-Persona AI Frameworks
Multi-Persona AI Collaboration involves structuring system prompts to simulate multiple specialized autonomous roles that debate, refine, and synthesize complex solutions.

Core Architectural Benefits

• Cognitive Diversity: Leverages specialized domain viewpoints to avoid single-perspective bias.
• Self-Correction: Enables adversarial review loops before generating final outputs.
• Modularity: Allows granular adjustment of individual expert agents within the execution chain.

Master Execution Framework Prompt
Below is the complete blueprint for orchestrating a tri-persona consensus protocol.

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