Inside the Simulation
Room is not just a chatbot. It is an intelligence orchestrator. See how we transform simple instructions into complex debates.
1. The Persona Concept
Each agent in Room receives a dense "system prompt" defining their personality, cognitive bias, and knowledge base. We don't just ask to "act like a lawyer". We define their fears, goals, and speaking style.
"Intelligence emerges not from the individual, but from the friction between opposing perspectives."
2. Shared Memory
Unlike isolated chats, Room agents share context. If Agent A refutes a point, Agent B hears and reacts to that rebuttal, creating a logical and evolving chain of thought.
3. Turn Orchestration
An algorithm decides who should speak next based on contribution relevance. This prevents chaos and ensures the meeting goal is met.
Ready to see the magic?
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