I spent six months building an app around that idea and I'm still not sure it's true.
The setup: four models from different providers answer the same question independently, without seeing each other's replies. A moderator then compares them and reports where they agree, where they conflict, and what to do next.
Sometimes the disagreement is the whole point one model catches a risk the others missed. Other times you get four versions of the same answer and the extra complexity bought you nothing.
So I'm curious about your experience: where did multiple independent answers genuinely win over one, and where was it just overhead?
Molfar System turns a single chatbot conversation into a structured meeting. Assign up to four AI participants — each on its own model and provider (Gemini, NVIDIA, OpenRouter) — give them roles and documents, and ask your question. They answer independently, without seeing each other. A moderator compares the answers and builds one summary; a secretary keeps the knowledge base and writes the protocol. Free, no account, no server. You bring your own API keys, everything stays on your device.
