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AI.

HomecategoryAIPage 2
July 28, 2025
Hector ZelayaComments Off on How to Build Voice AI Applications: A Complete Developer Guide

How to Build Voice AI Applications: A Complete Developer Guide

Voice AI applications are changing how businesses handle customer interactions and how users navigate digital interfaces. These systems process spoken requests, understand natural language, and respond with generated audio in real time. Building a voice AI application requires understanding speech processing, language models, and real-time communication infrastructure.

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July 25, 2025
Jen OppenheimerComments Off on Alberto Gonzalez to Present at ClueCon on Cutting Latency and Cost with SLMs and Open Source Voice AI

Alberto Gonzalez to Present at ClueCon on Cutting Latency and Cost with SLMs and Open Source Voice AI

AI-powered voice agents are transforming communications across industries like telecom, healthcare, and enterprise customer service. But delivering low-latency, natural-sounding AI responses in real time at low costs remains a major challenge. Leveraging the “lightweight AI” of Small Language Models (SLMs) and free open-source stacks can help overcome

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July 23, 2025
Alberto GonzalezComments Off on Observability and Monitoring for LiveKit AI Agents Using Prometheus and Grafana

Observability and Monitoring for LiveKit AI Agents Using Prometheus and Grafana

In a previous post, Reducing Voice Agent Latency with Parallel SLMs and LLMs, we showed how to reduce response times and create more natural conversational experiences using the LiveKit Agents framework. But optimization is only half the equation. Once your voice agents are deployed and handling real

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July 23, 2025
Hector ZelayaComments Off on How to Build a Serverless Voice AI Assistant for Telephony in AWS using Twilio ConversationRelay

How to Build a Serverless Voice AI Assistant for Telephony in AWS using Twilio ConversationRelay

Voice assistants powered by real-time AI are increasingly being used to automate phone-based customer interactions. Whether for contact centers, internal help desks, or voice-driven workflows, a reliable architecture needs to support low-latency audio streaming, accurate speech-to-text (STT), intelligent response generation, and real-time speech synthesis. In this post,

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