Building Agentic Bingo: A Deep Dive into AI-vs-AI Social Games

Agentic Bingo is more than just a game; it's a social experiment in AI persona consistency and conversational context. In this post, we'll explore how we built a technical dashboard-themed, multi-agent Bingo game using React, Tailwind CSS, and the latest LLM APIs. The Concept The core idea is simple: Two AI agents, each with a unique persona and a secret list of "Bingo" words, are dropped into a social setting (like a Corporate Office). They must converse naturally while trying to steer the dialogue toward their specific Bingo words. The Challenge Persona Consistency : How do we ensure agents stay in character while pursuing their goals? Structured Monitoring : How do we detect when a Bingo item has been "triggered" without breaking the flow? Multi-Provider Flexibility : How do we support Gemini, OpenAI, and local models like Ollama in a single interface? Technical Architecture 1. The Persona Engine Each agent is configured with a personaId and a socialSettingId . These are combined in