How Minions.AI Cut Voice AI Response Times to Under 1.8 Seconds on Live Calls

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Developer Parvej Shah, based in Dhaka, Bangladesh, engineered a low-latency voice AI system for Minions.AI, a dispatch platform serving trade contractors. The original prototype had a response delay of around 2,900 milliseconds, long enough to cause callers to repeat themselves or hang up. To fix this, Shah's team replaced the sequential audio-processing pipeline with overlapping, event-driven streams so no stage waits unnecessarily for the previous one to complete. Key optimizations included a neural Voice Activity Detection model running on 20ms audio frames, token-level streaming from the language model directly into text-to-speech synthesis, and edge-node WebSocket routing that cut over 120ms of round-trip latency. The result brought average response time down to 1,450 milliseconds, achieving sub-1.8-second latency in 99% of live calls.

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