n x 1:1 -> n:n

Your idea is a shared conversational intelligence layer. Lots of private one on one AI conversations that quietly contribute to and draw from a shared discussion space- so that questions, objections and agreements propagate across people rather than die in silos. The mechanism is structured conversation cards, questions, positions, reasons or synthesis, with statuses like proposed, contested or settled. Stored in a shared backend like Notion or Airtable and then surfaced back into later conversations so the assistant can say, here's what others have raised, here's what's emerging- here's what's still open. MVP is a thin custom voice app using the real-time API, connected to one Notion or Airtable base with three tools; write a card, search cards, propose synthesis. That's enough for two to three people to test whether private conversations become a real end-to-end discussion. The product insight is shared memory with explicit epistemic status, not a better chatbot.