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In this session, Ruchir shares a journey of building a Minimum Viable Product (MVP) for a voicebot solution. From selecting the right tech stack and handling speech-to-text challenges to designing conversational flows and ensuring platform integration, this talk covers the practical decisions, hurdles, and key learnings from our MVP development.
This talk explores how Small Language Models (SLMs) and open-source tools enable affordable, fast AI-driven WebRTC interactions.Based on real-world experience building AI analytics and real-time voice agents, we’ll cover: 1.How SLMs reduce cost and improve response times for voice AI. 2.Some standard AI architectures that connect models to external data and tools. 3.Benchmarking some voice AI pipelines to compare real-time performance. 4.Live demo of an AI-powered WebRTC assistant.
Building a voice AI agent is one thing, but listening to real customers interact with it can surprise you. In this talk, Justin shares five lessons learned deploying production voice AI for BPOs, including what happens when function calls fail, callers leave early, or flows become unexpectedly complex. Dive into strategies for regression testing, prompt engineering, and structuring multi-step flows that perform reliably in the real world. You’ll also learn how we designed smooth handoffs to human agents when voice AI reaches its limit.
