Posts tagged with "Ai Voice"

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 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.

I reviewed conversational AI platforms for voice automation and production reliability. These 7 handle testing, monitoring, and deployment best in 2026.

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

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

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.

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

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.