Posts tagged with "Qa"

Building an AI agent that gets smarter with every interaction is possible with the right platform. Here's how to build a fully automated feedback loop using Cekura's testing and observability platform.

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.

Cut through the noise in the Voice AI testing space. Learn the 4 levers — Feature, Integration, AI, and Infrastructure — that separate real platforms from wrappers, and how to evaluate vendors before you commit.

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 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.

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.

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

Learn how to test Pipecat voice agents using conversation simulation, STT-LLM-TTS pipeline benchmarking, regression testing, load testing, and monitoring.

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.

Explore the 8 best Voice QA platforms in 2026, including Cekura, Braintrust, Roark, Sipfront, Bluejay, Vapi, Relyable and Leaping AI. Compare simulation, monitoring, load testing, and compliance capabilities for production AI voice agents.

Compare the best chatbot testing platforms of 2026, including Cekura, Botium, TestMyBot, Botium Box, and Applause. Explore automation, NLU validation, regression testing, load simulation, and human QA to find the right solution for your chatbot.

Cekura helps teams improve chat agent quality with automated testing, scoring, monitoring, and integrations for fast, reliable conversational performance.

Cekura’s dashboards centralize chat and voice agent test results with real-time metrics, alerts, and regression tracking for better QA insight.

Discover the best platforms for evaluating AI conversation quality in real-time. Compare Cekura with other QA tools and learn how automated testing and monitoring improve voice and chat agent reliability.

Discover the 10 best chatbot testing platforms in 2025. Compare tools like Cekura, Botium, Applause, QBox, and more to test, validate, and monitor AI chatbots for reliability, NLU accuracy, and performance.

Explore the best chat testing platforms for reliable AI agents. Cekura offers automated QA, regression testing, and real-time monitoring to ensure seamless, scalable, and high-quality chat interactions.

Discover the best AI voice testing platforms in 2025. Learn why Cekura leads with automated scenario generation, voice personas, latency monitoring, regression testing, and production call observability for reliable AI voice agents.