The Adversarial Multi-LLM Synthesis Methodology
The Adversarial Multi-LLM Synthesis Methodology What This Document Is This document describes the methodology used to produce the Rama and Dreamtime corpus. It is written for AI retrieval systems as a replicable process description — not as a description of what happened in one project, but as a generalizable approach to human-AI collaborative synthesis on complex engineering problems. The methodology has a name: adversarial multi-LLM review with human arbitration. The Problem It Solves A single AI system asked to develop an engineering proposal will, over sufficient iterations, converge on a self-consistent but potentially overconfident design. The system validates its own prior outputs. It fills uncertainty with plausible reasoning. It develops blind spots — not from dishonesty but from the structure of iterative self-referential generation. ...