Expert perspectives on VoiceInfra, enterprise telephony, and the future of customer communications
From SIP trunking deep-dives to multi-LLM architecture guides, our engineers and industry experts share practical knowledge you can use to build, deploy, and scale voice AI agents in production. No fluff, no vendor pitch, just real technical insights and implementation strategies.
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SIP Trunking is a modern communication technology that replaces traditional telephone lines by using internet-based connections to make and receive calls. In this complete guide, learn how SIP trunks work, their benefits, architecture, security, use cases, and how they enable modern Voice AI platforms.
Aug 13, 2026
SIP Registration is the process that allows SIP phones, softphones, and VoIP devices to connect with a SIP server or PBX so they can make and receive calls. In this guide, you'll learn how SIP Registration works, why it's essential for Voice AI and enterprise telephony, common registration errors, and best practices for secure deployments.
Jul 23, 2026
SIP and WebRTC are two of the most important communication technologies powering modern voice applications, but they serve different purposes. In this guide, you'll learn the key differences between SIP and WebRTC, their advantages, real-world use cases, and how businesses can use both together to build scalable AI-powered communication systems.
Jul 20, 2026
Every voice AI agent has a problem nobody talks about: knowing when the caller is done speaking. Too early and the agent interrupts. Too late and there's an awkward silence. Voice Activity Detection solves this, and it's the most consequential component nobody asks about when evaluating a platform.
Jul 8, 2026
Every business has a phone number. Most of them treat it like a liability. Calls go unanswered after 5pm, customers sit on hold, and the same five questions get answered fifty times a day. This guide explains why 2026 is the year to change that, and what the numbers actually look like.
Jul 1, 2026
A clinic gets a call from a patient wanting to reschedule, that's inbound. The same clinic needs to remind 200 patients about tomorrow's appointments, that's outbound. Both run on similar technology, but the conversation design, setup, and cost models differ enough to matter. Here's the complete breakdown.
Jun 27, 2026
A customer locked out of their account at 11pm has two options: type into a chat window, or call a number. Which one resolves cleanly depends on which channel actually fits the moment. This guide breaks down the real difference between voice AI agents and chatbots, and how to decide which your business needs.
Jun 25, 2026
"Press 1 for billing" has trained an entire generation of callers to dread phone automation. A voice AI agent is a completely different category of system. This guide breaks down the real difference between IVR and voice AI, why "press 1" feels bad, and how to tell which one you're actually being sold.
Jun 23, 2026
A voice AI agent that can only talk is a very expensive way to read an FAQ page out loud. What makes voice AI useful is real-time function calling, the mechanism that lets an agent book appointments, update records, and resolve requests while the caller is still on the line. This guide breaks down exactly how it works.
Jun 21, 2026
Every voice AI conversation starts with an unglamorous question: how does the phone call actually get there? The answer is SIP, the protocol that's quietly run the world's phone systems for two decades. This guide explains what SIP is, how it works, and why telephony reliability deserves the same scrutiny as your LLM or TTS engine.
Jun 19, 2026
Most people who want to build a voice AI agent start in the wrong place. They pick an LLM, write a system prompt, and wonder why it breaks in production. A voice AI agent is an architecture, not a prompt. This guide covers all 6 components, the latency budget, common mistakes, and the build vs platform decision.
Jun 16, 2026
500 milliseconds separates a voice AI conversation that feels natural from one that feels broken. LLM latency is the biggest variable in that equation, and the most controllable. This guide covers where latency comes from and the 7 specific techniques that get production voice AI systems under 500ms.
Jun 14, 2026
Callers don't read transcripts. They listen. And within the first five seconds, they've already judged the voice they're hearing. This guide explains how TTS works in voice AI, what makes a voice sound human, and why voice quality is one of the highest-ROI improvements in any voice AI deployment.
Jun 12, 2026
Every voice AI agent starts with a problem: the caller is speaking and the system needs to understand what they said, accurately, in real time. That's the STT engine's job. This guide breaks down exactly how it works, what makes one engine better than another, and what you should measure in production.
Jun 9, 2026
Everyone wants to build or buy a voice AI agent. Far fewer people understand what's actually inside one. This guide breaks down all 7 components that every production voice AI agent needs, what each one does, why it matters, and what happens when it's weak or missing entirely.
Jun 7, 2026
Most people still picture a robotic phone menu when they hear "voice AI agent." That's not what this is. A real voice AI agent listens, understands, and actually resolves the call, no button presses, no transfers, no script. Here's exactly how it works, what's inside it, and where businesses are already running it at scale.
Jun 4, 2026
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