Cross-Review
Gathers consensus from multiple AI models in parallel to provide diverse and reliable expert advice.
Gathers consensus from multiple AI models in parallel to provide diverse and reliable expert advice.
Cross-Review acts as an intelligent proxy, querying up to five leading AI models (OpenAI, Gemini, DeepSeek, Mistral, OpenRouter) simultaneously for any given request. It then processes their responses using a semantic similarity clustering algorithm to identify consensus, highlighting agreements and differences across the models. This provides developers with enriched, multi-perspective insights and consensus verdicts in real-time, greatly enhancing debugging, code review, and general problem-solving workflows.