Live Support Co-Pilot

The first Hybrid Intelligence support platform. Gemini 3 voice AI handles calls with <1s latency, while human supervisors monitor and can take over instantly.

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What it does

Live Support Co-Pilot revolutionizes customer service by combining the speed of AI with the empathy of humans. In the Action Era of AI, static chatbots aren't enough. We've built an intelligent orchestrator powered by Google's Gemini 3 that handles support calls, detects sentiment, and seamlessly collaborates with human supervisors.

Think of it as Autopilot for customer service – the AI handles routine questions, but a human can always grab the wheel.

Key Features:

  • 🤖 Natural voice conversations powered by Gemini Live API (<1s latency)
  • 👁️ Real-time supervisor dashboard with live transcripts and analytics
  • 🎯 Smart escalation via AI-powered frustration detection
  • Live Context Injection: Supervisors can guide the AI in real-time by injecting context without taking over the call
  • 🔄 Seamless human takeover with zero latency
  • 🧠 Post-call AI summaries with sentiment trends and action items

How we built it

Architecture:

  • Backend: Node.js + Express + WebSocket for real-time bidirectional communication
  • Frontend: Vanilla JavaScript with Web Audio API for audio processing
  • AI: Three Gemini 3 APIs working in harmony:
    1. Gemini Live API for voice conversations
    2. Gemini Text API for sentiment analysis
    3. Gemini Text API for call summarization

Technical Highlights:

  • WebSocket streaming of 16kHz PCM audio to Gemini Live
  • Real-time JSON-based sentiment classification
  • Echo detection to prevent AI voice feedback loops
  • Fuzzy deduplication for transcript accuracy
  • Supervisor speech transcription using Web Speech API during takeover

Challenges we solved:

  • Achieving sub-second voice latency (Gemini Live was key!)
  • Preventing echo/feedback when AI speaks and microphone listens
  • Seamless handoff between AI and human without dropping the call
  • Accurate sentiment detection from conversational context

Accomplishments that we're proud of

  • 🏆 Sub-second voice latency that feels as natural as talking to a human
  • 💡 First-of-its-kind Context Injection allowing supervisors to "whisper" guidance to the AI
  • 🤝 Seamless Human Takeover for immediate intervention
  • 🧠 Real-time sentiment analysis with supervisor alerts
  • 📊 90%+ accuracy in frustration detection

What we learned

  • Gemini Live API's streaming architecture is a game-changer for voice applications
  • Sentiment analysis requires more than keyword detection – Gemini's contextual understanding is crucial
  • Human-AI collaboration > Pure AI or human-only approaches
  • Real-time WebSocket architecture is essential for live supervisor oversight

What's next for Live Support Co-Pilot

  • Multi-language support (Spanish, French, Hindi via Gemini's multilingual capabilities)
  • Voice analytics (tone, pace, interruptions)
  • CRM integrations (Salesforce, HubSpot, Zendesk)
  • Agent coaching mode (AI suggests responses to human agents in real-time)
  • Custom knowledge bases (company-specific training data)
  • Mobile supervisor app for on-the-go monitoring
  • Scaling to enterprise with PostgreSQL and Redis

Market Opportunity:
The customer service industry is worth $400+ billion. With 70% of calls being routine inquiries that AI can handle, and 30% requiring human empathy, our hybrid approach addresses a massive market need.

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