Orchestrates a multi-agent system to provide hierarchical LLM critique and synthesis for enhanced decision-making and idea evaluation.
Elrond implements a multi-agent thinking augmentation system that analyzes proposals through three specialized critique perspectives: positive, neutral, and negative. By leveraging multiple LLM agents (Gemini 2.5 Flash for critiques and Gemini 2.5 Pro for synthesis), it overcomes single-model biases and synthesizes comprehensive, actionable insights. This approach ensures more thorough analysis of complex ideas, offering a robust framework for evaluating proposals, identifying consensus, and guiding next steps.