Ultra-Low Latency Voice Orchestration
Using Vapi.ai to orchestrate STT, LLMs, and TTS into a unified, sub-500ms conversational stream.
Why Vapi.ai Integration Matters
Manually wiring together Deepgram (STT), OpenAI (LLM), and ElevenLabs (TTS) often results in 2-3 seconds of latency. Vapi orchestrates these streams natively, reducing latency to conversational levels.
| Market Signal | Impact Detail |
|---|---|
| Employer Demand | A highly specialized, niche skill that commands premium compensation. |
How We Use It
We use Vapi as the core orchestration layer for our voice agents, focusing our engineering efforts on the custom backend function-calling and state management.
Real World Example
By migrating a custom-built voice loop to Vapi, we reduced perceived conversational latency from 1.2 seconds to 400ms.
The Slickrock Advantage
"We don't just use the Vapi dashboard; we programmatically provision and control Vapi assistants via their REST and WebSocket APIs for deep enterprise integration."
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Frequently Asked Questions
What happens if the LLM takes too long?
We configure the agent to use 'filler words' (e.g., 'Let me pull up your file...') while the LLM generates the response, masking the latency.