Solving the "Walkie-Talkie" Delay in Real-Time AI Voice Agents

Hey DEV Community! 👋

Managing customer support and recovering abandoned carts for e-commerce stores using traditional text-only chatbots often feels clunky. Customers drop off, issues get delayed, and midnight support tickets sit unanswered.

To solve this, I built SupportAI—a full-duplex, low-latency AI Voice Agent designed to handle real-time customer conversations over voice calls.

⚡ What Makes Full-Duplex Voice Tricky?
Unlike standard STT (Speech-To-Text) -> LLM -> TTS pipelines that feel slow with 2–3 second delays, full-duplex voice agents need:

Ultra-Low Latency: Natural conversational turn-taking (sub-800ms response window).
Interruption Handling (Barge-in): If the customer speaks while the AI is talking, the AI must instantly stop and listen.
E-Commerce Context: Dynamic execution of actions like checking order status, handling skips/swaps, or recovering abandoned carts in real time.

🚀 Try It Out Live
You can test the full-duplex voice agent live in your browser without signing up:

👉 Launch the Live Voice Demo

💬 Feedback & Discussion
I'd love to hear your thoughts!

• How are you currently handling voice AI or latency in WebRTC pipelines?
• What e-commerce integrations (Shopify, WooCommerce, Custom APIs) would you like to see next?

Drop a comment below! 👇