Aggregate many LLMs for second opinions, arbitration, and more reliable decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Deliberation" yet — see the docs or source repo.
Please send this Python caching implementation to multiple models for review, compare correctness, performance, and maintainability, then provide an arbiter-decided best approach with reasons: [paste code]
A summary of multi-model reviews, key disagreements, an arbitration result, and a recommended improved solution.
For the question "Should we launch team collaboration features in the next release?", gather opinions from multiple models, analyze user value, implementation cost, risk, and timing, then output a consensus conclusion.
A comparison of model opinions, main pros and cons, and a synthesized decision recommendation.
Have multiple models independently review the following research summary, assess whether the argument is sufficient and whether there are flaws or bias, then use arbitration to provide a credibility assessment: [paste summary]
Independent judgments from multiple models, a list of potential issues, and a final aggregated credibility rating.
Get second opinions from GPT, Gemini, Grok, and OpenRouter models.
Run cross-reviews across leading LLMs with convergence gates for more reliable outputs.
Enable Claude Code to orchestrate multiple LLMs for coding and complex tasks.
Get technical advice, code reviews, and explanations via Codex CLI.
Run local multi-model deliberation and synthesis for better coding decisions on Mac.
Call Codex inside Claude Code for reviews, second opinions, and delegated coding.