About this project
"An AI council that debates, verifies, and recommends the best path forward." Synod AI is a multi-agent decision intelligence system that helps engineering teams make reliable, evidence-backed decisions through autonomous AI collaboration. Modern technical decisions often involve uncertainty, conflicting opinions, and incomplete information. Synod addresses this by creating an AI-powered decision council where specialized agents analyze a problem from multiple perspectives before producing a final recommendation. The system combines multi-agent reasoning, Retrieval-Augmented Generation (RAG), and evidence verification to simulate a structured decision-making process. A decision submitted by the user goes through multiple stages: Context Intelligence: Understands the decision, objectives, constraints, assumptions, and identifies missing information. Advocate Agent: Builds the strongest case in favor of the proposed decision by analyzing benefits, opportunities, and technical advantages. Critic Agent: Challenges the decision by identifying risks, limitations, hidden assumptions, and possible failure scenarios. Evidence Intelligence: Uses RAG-based retrieval and verification to evaluate supporting information and measure evidence confidence. Verdict Agent: Synthesizes all perspectives and generates a final recommendation with reasoning, confidence score, risks, and next steps. Built as an MCP-native AI application, Synod provides structured tools, resources, and interactive workflows that allow AI systems and users to seamlessly interact with the decision engine. Unlike traditional AI assistants that provide direct answers, Synod creates a transparent reasoning process where decisions are debated, validated, and justified before recommendation. Synod AI transforms AI from a simple answer generator into an intelligent decision council.
Enterprise AI & Workplace Automation track
Develop AI agents and automation tools that improve productivity, streamline workflows, and enhance business operations.