class TwinBrainDeliberator:
    """
    Orchestrates the Clustered AI Deliberation Council for consensus building.
    """
    def __init__(self):
        self.consensus_threshold = 0.85
        self.rounds = 3

    def deliberate(self, proposals):
        print(f"Deliberator initiating {self.rounds} rounds of cross-node analysis...")
        # Simulated deliberation logic
        consensus_score = 0.92
        if consensus_score >= self.consensus_threshold:
            return {"status": "CONSENSUS_REACHED", "score": consensus_score, "verdict": "PROCEED"}
        else:
            return {"status": "QUARANTINED", "score": consensus_score, "verdict": "RE-EVALUATE"}

if __name__ == "__main__":
    deliberator = TwinBrainDeliberator()
    print(deliberator.deliberate(["Proposal A", "Proposal B"]))