Multi-Model Synthesis Combine outputs from multiple AI models into a verified, comprehensive assessment by cross-referencing claims against the actual codebase. Core Principle Models hallucinate and contradict each other. The source code is the source of truth. Every significant claim must be verified before inclusion in the final assessment. Process 1. Extract Claims Parse each model's output and extract discrete claims: - Factual assertions about the code ("function X does Y", "there's no error handling in Z") - Recommendations ("should add validation", "refactor this pattern") - Identified…