Stop trusting single AI outputs. An anti-hallucination framework with dual-brain arbitration, multi-model audit, and evidence chains for LLM quality control.
Multi-AI consensus tool: MCP server that queries multiple AI models (OpenAI, Claude, Gemini, custom APIs) in parallel, synthesizes responses for better accuracy, and reduces AI bias through ensemble decision-making
Stop trusting single AI outputs. An anti-hallucination framework with dual-brain arbitration, multi-model audit, and evidence chains for LLM quality control.
Multi-model AI orchestration platform — route coding tasks through specialized LLM agents with consensus, adversarial review, and an independent Arbiter layer. Model-agnostic. Plugin any LLM. Ship better code.
