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Case Study • Voice AI

AI Calling Platform

Call-In Voice AI Assistants | Twilio + LLM

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Project Overview

A platform where users can call a phone number and talk to an AI assistant. Every interaction is logged, structured, and ready for analytics.

The Product Story

Instead of forcing users into a web chat, this platform lets them dial a number and talk to an AI in natural language.

This turns any phone into a smart, AI-enhanced communication channel — without apps, logins, or friction.

Key Capabilities

  • Dial a phone number
  • Talk to an AI in natural language
  • Hear real-time, natural-sounding responses
  • Structured conversation logging

The Challenge

Delivering low-latency, real-time responses over voice while managing streaming text-to-speech.

  • Low-latency voice response
  • Streaming STT and TTS
  • Persisting conversations with clear schema
  • Handling call drops and timeouts

Solution Delivered

Architecture

  • Twilio Voice for telephony
  • Speech-to-text + LLM + TTS pipeline (Azure/OpenAI)
  • Node.js backend for orchestration
  • Firebase/Firestore for conversation storage

Key Features

  • Real-time AI conversation with streaming
  • Structured logging (speaker, text, timestamp)
  • Final 'save on hang-up' logic
  • Hooks for sentiment analysis and tagging

Results & KPIs

✓ Reusable voice AI infrastructure for multiple use cases
✓ Latency low enough to feel conversational
✓ Robust data storage for CRMs and training
#AI calling platform#Twilio GPT integration#voice AI agent#phone-based AI assistant#call center automation

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