Build voice assistants that respond without lag.
What it does
Guides development of natural voice assistants with low latency, reliable turn-taking, and interruption handling.
When to use it
Use when the task involves voice agents, speech recognition, speech synthesis, realtime voice APIs, or conversational AI.
How to use it
It changes how the agent builds voice interfaces by applying latency, conversation-flow, and validation requirements to project code.
What you provide
- An existing project
What you need · 5
Routes phone and telephony integration work to backend; whether installation is required to complete the workflow is unstated.
Routes LLM optimization work to llm-architect; whether installation is required to complete the workflow is unstated.
Routes tool design for voice agents to agent-tool-builder; whether installation is required to complete the workflow is unstated.
Routes multi-agent voice system work to multi-agent-orchestration; whether installation is required to complete the workflow is unstated.
Access · 0
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