[PROMPT] Orchestrating Dynamic Multi-Agent Consensus in Generative Workflows

[JackaL]

Multi-Persona AI Collaboration Frameworks

Introduction to Multi-Agent Prompting
When solving complex problems, relying on a single AI persona often yields narrow insights. By establishing a collaborative framework composed of specialized personas, you can simulate expert panels, peer reviews, and iterative refinement cycles directly within a single LLM session.

Key Architectural Components

• The Facilitator Node: Coordinates conversation flow, synthesizes divergent opinions, and maintains focus on the goal.
• Domain Specialists: Subject matter experts designated with distinct perspectives, constraints, and analytical methods.
• The Red Team / Critic: Challenges assumptions, identifies edge cases, and checks for logical fallacies or biases.

Execution Cycle
1. Initialization: Define roles, objectives, and success criteria.
2. Divergent Ideation: Each persona generates independent analyses.
3. Convergence & Critique: Personas evaluate and refine each other's outputs.
4. Synthesis: The Facilitator produces a unified master output.

Master Multi-Persona Framework Prompt Template

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