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Case Study

Phone AI

AI voice agents that answer your business calls 24/7 — trained on your business, speaking in your tone, handling real conversations.

📋 Overview

Phone AI is a proof of concept for voice AI services, built under Big Boulder Studios. AI agents handle incoming business calls — answering questions, booking appointments, taking messages, and routing urgent calls.


💡 Context

Small businesses miss a lot of incoming calls — and every missed call is a potential lost customer. Traditional solutions like hiring a receptionist or outsourcing to a call center are expensive. Phone AI provides an AI agent that picks up every call, available 24/7.


🛠 Tech Stack

Voice AI / LLMs Real-time Speech-to-Text Neural Text-to-Speech Telephony APIs WebSocket Streaming Node.js Custom Training Pipeline

🧠 Technical Architecture

The voice pipeline is built for low latency — the delay between a caller finishing their sentence and the AI responding needs to feel conversational, not robotic.

⚡ Challenge

End-to-end latency in a voice AI pipeline compounds fast: STT transcription + LLM inference + TTS synthesis + telephony buffering. Each step adds 200-500ms, easily resulting in 1-2 second pauses that feel awkward and break conversational flow.

✓ Solution

Real-time streaming at every stage: STT streams partial transcripts, the LLM streams token-by-token responses, and TTS begins synthesis on the first sentence before the full response is generated. WebSocket connections stay warm between turns. The result is sub-second response times that feel like talking to a real person.


🎯 Role

Built under Big Boulder Studios with Nino. Developed the voice AI system and client onboarding workflow.


Key Highlights


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