Engineering deep dives into production-grade conversational infrastructure.
What to track on every production voice call across system, audio, conversation, and operations layers, so failures get localized and routed to the right owner.
Every voice AI deployment sits at a wall: "how do we know it's working?" This is how we built Lens to solve the observability gap in production speech-to-speech models.
Full-duplex speech models eliminate the format conversion step where cascaded voice AI loses tone, emotion, and context. The architectural case, with real numbers.