Voice AI Agent for Personalized Task Automation
A next-generation voice assistant MVP that adapts its personality and knowledge base per user profile, achieving sub-800ms response latency, built to secure early-stage investor interest.
- Client
- Stealth-Mode AI Productivity Startup (NDA)
- Industry
- AI & SaaS
- Type
- AI & Tech
- Year
- 2024
- Our role
- Lead AI Architect & Backend Engineer
- Timeline
- 8 weeks
- Team
- 1 dev, 1 design
Overview
A stealth AI startup needed an investor-ready MVP for a next-generation voice assistant, one that behaves like a personalized chief-of-staff rather than a generic command executor.
Process.
- Architected a real-time voice pipeline: Whisper STT → context injection via RAG → GPT-4o LLM → ElevenLabs TTS → WebSocket streaming back to client.
- Built a user profiling system storing preferences, task history, and schedule context in PostgreSQL with Redis session management for low-latency retrieval.
What we built.
- featReal-time voice pipeline with sub-800ms end-to-end latency
- featRAG-based user profile injection for personalized responses
- featTask execution engine: reminders, email drafting, scheduling via voice
- featWebSocket-based streaming audio for continuous bi-directional dialogue
- featVoice Activity Detection (VAD) enabling natural interruption handling
- featVisual listening/thinking/speaking state indicators in ReactJS UI
Hard parts.
fixHigh latency creating awkward silences between user and AI
Optimized FastAPI with async processing, selected GPT-4o Turbo for speed, and streamed TTS output in chunks rather than waiting for full response generation, achieving consistent sub-800ms latency.
fixMaking the agent feel personalized without hard-coded rules
Implemented RAG pulling relevant user profile snippets (preferences, history, schedule) to prime the agent's context window before every response, delivering dynamic personalization at scale.
fixUser frustration when speaking over the AI mid-response
Built frontend VAD logic that instantly pauses the AI audio stream when the user begins speaking, enabling natural conversation interruption without dead air.
fixUnstable WebSocket connections on variable internet speeds
Built robust WebSocket management in React and FastAPI with automatic reconnection, audio chunk buffering, and graceful degradation, maintaining session continuity on poor connections.
Built with
Python FastAPI ReactJS WebSockets OpenAI ElevenLabs PostgreSQL Redis
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