AI Roundtable

Overview

AI Roundtable is a multi-agent debate platform that brings AI personas together for structured, intelligent discussions on any topic. Each AI participant has a distinct personality, perspective, and argumentation style — creating dynamic conversations that surface insights no single model could produce alone.

Architecture

The system is built on a clean separation of concerns. The backend uses FastAPI to orchestrate debate rounds, manage AI agent state, and persist conversation history via SQLAlchemy. Real-time updates are streamed to the frontend through WebSocket connections, giving users a live view of the debate as it unfolds.

The React frontend provides an intuitive interface for configuring debates — selecting topics, choosing AI personas, setting round counts, and watching the discussion play out in real time. Each agent's responses are clearly attributed, making it easy to follow the flow of arguments.

Key Features

Multi-Agent Orchestration — Multiple AI agents participate in structured rounds, each maintaining context from previous turns and building on each other's arguments.

Real-Time Streaming — WebSocket integration delivers responses as they're generated, creating a natural conversational experience.

Persistent History — All debates are stored in a SQLAlchemy-backed database, allowing users to revisit and analyze past discussions.

Claude API Integration — Powered by Anthropic's Claude, each agent leverages advanced reasoning capabilities to produce thoughtful, nuanced arguments.

Technical Decisions

FastAPI was chosen for its async-first design — critical when coordinating multiple concurrent AI API calls. The WebSocket layer eliminates polling overhead, and SQLAlchemy provides a robust ORM for debate persistence without tying us to any specific database engine.

On the frontend, React handles the dynamic rendering of debate threads, with careful state management to ensure smooth real-time updates as new arguments stream in from the backend.