Multi-agent debate with a hidden orchestrator: what I learned running it on free-tier APIs

Reddit r/AI_Agents Tools

Summary

A practitioner shares lessons from running a multi-agent debate system with a hidden backend orchestrator on free-tier APIs, revealing that opposing personas outperform identical ones and that rate limits accidentally improve debate quality. This forms the core of Lunaar, a BYOK, free multi-agent debate tool currently in development.

Setup: several bots with distinct personas debate a question, and an orchestrator running purely in the backend (no UI, no visible agent) decides when to stop and who speaks next. Findings so far: Opposing biases beat identical personas. Same-model agents with the same prompt just echo each other. A judge that can’t see your original framing is more honest. Free-tier rate limits force short rounds, which accidentally improved the quality. This is the core of Lunaar, which I’m building: BYOK, totally free, no key stored on my side by default. Curious how others handle orchestration. Do you pick the next speaker with an LLM call or a fixed rotation?
Original Article

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