Most intake systems optimize for collecting fields, but guess what? > HangON optimizes for preserving intent A voice first front desk for operations teams, service desks, and community programs, built for the moments a misunderstood first handoff creates hours of rework Fully built with @AssemblyAI's Voice Agent API People rarely explain real requests in neat form fields HangON lets callers explain naturally, then asks only the questions the workspace has configured The result is a structured request, without forcing people through a rigid maze Before anything is prepared, HangON reads the request back The caller can correct it, clarify it, or confirm it. That small interaction matters, because "I understood you" is not the same as "I am allowed to act." The architecture runs from a browser microphone, through AudioWorklet capture, into a server minted AssemblyAI session, through workspace owned prompts and tools, to a signed confirmation, an idempotent request store, and an optional signed webhook Confirmation is not just a boolean, because HangON signs approval against the exact workspace, summary, details, route, and idempotency key Change one detail and the approval no longer matches We built this with just one goal: make voice intake feel human without making systems less accountable HangON is for teams that need better first handoffs, not more forms For callers, it feels conversational For operators, it produces a request they can inspect and trust Try the public demo: tryhangon.vercel.app Thank you