The market is moving beyond demo-grade voice and realtime interactions. What matters now is whether teams can operate these workflows with the same discipline they expect from APIs and infra.
This matters most when your product already involves live interaction and you need a disciplined way to keep the experience usable under imperfect conditions.
Signal analysis
The conversation around realtime AI has matured. The novelty phase is ending, and teams are now confronting the practical requirements of running these systems repeatedly in production.
Many products still treat realtime AI as if the model output is the whole experience. In practice, the experience is the orchestration: transport stability, tool success, turn management, and fallback behavior.
Treat every realtime feature like an operational surface. Instrument it, narrow its scope, and build for imperfect conditions instead of ideal demos.
Best use cases
Open the scenarios below to see where this shift creates the clearest practical advantage.
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