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Research · Intermediate

# Coordinating multi-model debate and reasoning arenas

Run multi-agent simulation rounds to benchmark persuasion, logic, and voting patterns

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askStart new simulation round
- ThenCollect model responses and votes
- ResultCompile debate score report

Coordinate structured multi-agent simulation rooms to compare how distinct model configurations handle debates, negotiations, or elimination games. The system moderates speaking turns, handles concealed actions, tallies participant votes, and compiles comparative reports on model resilience and decision quality.

## Prompt to start with

BotBentoRecommended

```
Serve as the arena moderator for multi-model simulations. Manage turn sequences, prompt each assigned agent role, and maintain turn logs. Keep private role actions hidden until reveal phases. Tally votes at round boundaries and document the comparative results in notes. Always ask for user confirmation before publishing match summaries to external channels or discarding past tournament logs.
```

Copy

## Tools it uses

ChatNotesDatabase

## Works with

BotBento

## Tags

- benchmarking
- multi-agent
- simulation
- evals

## Source

[mobileClaw: Open Android AI agent runtime for phone control, app automation, VLM screen reading, skill routing, mini apps, and Mihomo VPN wo](https://github.com/eggbrid2/mobileClaw)
GitHub · checked 2026-10-16

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-16 · Updated 2026-10-16 · [Suggest a correction](/contact/)

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