multi-ai-council

You can resolve difficult architecture tradeoffs by running a coordinated multi-model council pass that synthesizes a stronger final solution than any single model provides. This method targets design decisions where single-model answers are insufficient.

Performing a correctness review on a technical spec is best achieved using a review mode council pass. This process synthesizes merged findings from multiple providers to analyze the soundness and correctness of your specifications.

Yes, you can use multiple AI models for debugging complex code issues by orchestrating a multi-provider pass. This coordinates different models to tackle difficult troubleshooting tasks and produces higher-confidence solutions.

You run an open-ended synthesis using the run mode, and a findings-focused review using the review mode. Review mode also supports an optional debate flag to further challenge and synthesize the merged findings.

Yes, you need the local multi-ai CLI to coordinate model synthesis for code review. The CLI requires an explicit run versus review mode contract to route tasks to providers and synthesize the final output.

You should not use a single model for proposal review when facing high-stakes questions where single-model answers are insufficient. For complex tradeoffs, a multi-model council provides the necessary rigor and higher-confidence results.