Technical portfolio project
VoxBridge: AI Voice Calling Agent for Human-Like Phone Conversations
Places and receives real phone calls, transcribes speech, decides responses with an LLM, synthesizes lifelike speech, maintains state, and escalates to humans safely.
This entry documents MuFaw research and technical work. It is not presented as a paid client engagement unless the project page explicitly states otherwise.
Project details
What we delivered
Overview
Voice agent that handles phone conversations with real-time AI.
Maintains dialogue state and safe escalation paths.
Why this exists
Calls are high-conversion but do not scale with humans alone.
Repetitive call tasks waste agent capacity.
How it works
Call control via telephony provider.
Streaming audio and transcripts into LLM reasoning with state, then TTS response.
Guardrails, confidence gating, and escalation.
Key engineering decisions
Low-latency turn-taking with streaming-first design.
Barge-in and interrupt handling.
Tool allowlists with validation.
Human handoff is first-class.
Auditable logs with outcomes tracking.
Use cases
Outbound qualification.
Appointment scheduling.
Inbound FAQ and routing.
After-hours support.
Tech stack
Telephony integration with programmable voice APIs.
Streaming audio via media streams.
Real-time transcription and dialogue orchestration.
Neural TTS.
What MuFaw delivered
Telephony orchestration with streaming pipelines.
Dialogue manager with safety guardrails.
Monitoring, logging, and handoff workflows.
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