
A working voice AI demo can come together quickly. Production is where the difficult questions appear: what happens when audio quality changes, a caller switches language mid-sentence, a component fails, or data cannot leave a specific environment? The hardest part is rarely one model. It is the system around it. What fails is seldom the model itself, but the system it sits inside. Our first article looks at the gap between a successful prototype and a system that teams can understand, adapt and operate.
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