Posts tagged with "Ai Voice"

Your customers don't all sound the same. Your testing shouldn't either. Discover how Cekura tests voice AI agents across 30+ languages, regional accents, and culturally authentic personalities.

In Voice AI, small changes are dangerous. Learn how to build a production-grade CI/CD pipeline with unit tests, E2E infrastructure testing, and a production feedback loop that catches failures before they reach users.

Single-turn red teaming has a 19.5% success rate. Multi-turn attacks hit 92.7%. Here's the data behind why multi-turn red teaming works and how we automated it for voice AI.

Cekura's founding Forward Development Engineer shares hard-won lessons on building reliable voice AI evaluation metrics — from avoiding cross-pollination to dynamic variable-driven testing patterns.

Learn how to test and monitor LiveKit voice agents using Cekura's tracing SDK — covering automated simulation, production observability, custom metrics, dashboards, and alerts.

Explore 12 key metrics—like interruptions, WPM, sentiment, and talk ratio—to enhance your AI conversation monitoring and insights.

Discover the 6 most important metrics for monitoring AI conversations—Instruction Following, Latency, Hallucination Rate, CSAT, Interruption Handling, and Voice Clarity—to ensure reliable, high-performing voice and chat agents.

Most teams compare Langfuse vs. LangSmith and call it done. Here's why Cekura changed the decision entirely for conversational AI.

Wondering when to use Pipecat vs. LiveKit? Learn key differences, when to use each, and how they apply to production voice agent development.

Compare Retell vs. Vapi on pricing, features, latency, and compliance. I tested both platforms to help you pick the right voice AI for your team in 2026.

Learn how to make an AI voice assistant in Python with runnable code for voice activity detection, transcription, and streaming replies. Build it in 8 steps.

I reviewed conversational AI platforms for voice automation and production reliability. These 9 handle testing, monitoring, and deployment best in 2026.

AI voice technology is the pipeline behind spoken AI agents. This guide covers how it works, where each layer fails, and what that costs in production.

Compare the best Vapi alternatives for voice AI APIs in 2026 on pricing, latency, compliance, and telephony. See which one fits best before you switch.

How does voice AI work in production? It runs a live loop of transcribing, deciding, and speaking. This guide shows where it breaks and what you should test.

Vapi AI pricing starts at $0.05 per minute for calls, but what you actually pay rises once you add models, telephony, and compliance. Here's a full breakdown.

I tested 9 Vapi alternatives in 2026, so your team doesn't have to. Compare each on pricing, use cases, and trade-offs to find the right pick for your needs.

Learn exactly what voice observability is, why it matters for production voice AI agents, and how to trace failures across infrastructure, execution, and UX.

What voice AI works best for outbound sales calls in 2026? Compare the 7 platforms we tested, with everything you need to know on pricing and features.

Most online Vapi review options stop at the feature list. This one goes further, diving into what breaks in production and what it actually costs per minute.

Choosing the best TTS for AI voice agents means considering latency, pricing, and quality under real calls. Here's what separates each provider in 2026.

Conversational analytics turns every voice call into structured data. Learn how it works, what metrics matter, and how voice AI teams use it in production.

It's easy to find an ElevenLabs alternative. What nobody tells you is which ones actually survive when real callers are on the line. Here are the top options.

The best-rated AI virtual receptionist voice tools all promise 24/7 coverage. I tested nine options for 2026 to find out which ones actually deliver it.

Most voice agents fail in production. Here's how to write AI voice assistant response guidelines and voice agent prompts that hold up on real calls.

Your IVR passes pre-launch IVR testing and still breaks in production. Here's why, which methods prevent it, and the tools teams use in 2026.

Most agent failures happen after launch. Here's how to build AI agent evals that catch broken tool calls, drift, and regressions before your users do.

Tired of missed calls? We tested 15+ AI answering services so you don't have to. Here are the 7 best options for 2026, ranked by real call performance.

This ElevenLabs review for Conversational AI compiles what real users say about voice quality, pricing, and the gaps no one talks about. Here's what to know for 2026.

Looking for a Langfuse alternative? I tested 10 LLM observability tools for tracing, evals, and production monitoring. Here's what each one actually does well.

Most AI appointment booking tools sound great on a demo. I tested dozens and selected the 5 that hold up in real booking scenarios and in production.

Learn everything you need to build and scale conversational AI in healthcare: integration decisions, voice AI failure points, and what to measure in production.

Your complete guide on how to run voice load testing for voice agents the right way, including methods, key metrics, and the failures most teams never catch.

I compared conversational analytics software platforms and found 9 worth using in 2026. Compare features, pricing, and use cases for sales, support, and AI agents.

Learn how to test and evaluate voice agents effectively. Discover how Cekura provides automated performance testing tools for voice agents, covering simulation, monitoring, and continuous improvement.