model-chat

/model-chat — Multi-Model Debate

Spawn 5 Claude Sonnet instances into a shared conversation room. They debate a problem across 5 rounds using round-robin turns (all agents respond in parallel each round, see full history). A synthesizer agent then merges the debate into a final answer.

$ARGUMENTS — the topic or problem to debate.

Optional:

• agents=X — number of agents (default 5)
• rounds=X — number of debate rounds (default 5)

Why this works

Same model, slight framing variations = systematically different failure modes. Surfacing disagreements between instances is more valuable than any single instance's confident answers. Consensus across independent runs filters hallucinations, divergences reveal judgment calls.

How it works

1. Parse the topic into a clear debate question
2. Spawn N agents (Sonnet) in parallel for round 1
3. Each round: all agents see full history, respond in parallel
4. After final round: synthesizer agent merges debate into answer

Agent prompt (each round)

You are Agent [N] in a debate room.

Topic: [QUESTION]

Conversation so far:
[FULL HISTORY]

Respond with your position. Agree, disagree, or build on others. Be direct.

Under 150 words.

Synthesizer prompt

Here is a debate between [N] agents across [R] rounds:

[FULL DEBATE]

Synthesize into a final answer. Note where they agreed, where they diverged, and your verdict.

Output

Report directly:

• Agents: N
• Rounds: R
• Final synthesis from synthesizer
• Key agreements and disagreements