Discover
At Cekura, we cover everything you need to build reliable voice and chat AI agents — from automated testing suites and prompt management to observability and state-of-the-art evals.
37 articles
Voice AI TestingCompliance Testing for Voice AI Agents: PCI, HIPAA, TCPA and Disclosure Controls
What PCI DSS, HIPAA, TCPA and disclosure scripts make testable on a voice AI agent call, how to test each control, and what evidence to keep.
20 min read
Voice AI TestingHow to Run Regression Tests on Pipecat Agents After Prompt Changes
How to run regression tests on Pipecat, LiveKit, Retell and Vapi agents after a prompt change, with pass^3 data from one agent tested across six platforms.
22 min read
Voice AI TestingTools to Test Voice AI Agents Built on Amazon Connect / Lex
Tools to test voice AI agents built on Amazon Connect / Lex: the Lex Test Workbench, the Connect test case APIs, and what neither measures on a real call.
12 min read
Voice AI TestingTools to Test Voice AI Agents Built on the Deepgram Voice Agent API
How to test voice AI agents built on the Deepgram Voice Agent API, layer by layer, using the event stream and latency signals that expose each failure.
16 min read
Voice AI TestingVoice AI Testing for Hospitality, Retail, and Real Estate
Voice AI testing for hospitality, retail, ecommerce, real estate and restaurants: the failure mode each vertical forces, and how to assert on it.
13 min read
Voice AI TestingASR Accuracy Testing for Multilingual Voice Agents
How to measure ASR accuracy for multilingual voice agents, WER versus CER, testing code-switching, and how Cekura tests across 30+ languages.
8 min read
Chat Bot TestingBest Production Monitoring Tools for Live AI Chat Agent Deployments
Compare Cekura against Braintrust, Arize Phoenix, and Langfuse for monitoring live AI chat agents, and see which one catches real conversation failures.
8 min read
Voice AI TestingEdge Case Testing for Voice AI Agents
What edge case testing for voice AI agents actually covers, plus how to handle regression testing after prompt changes, synthetic user testing, adversarial testing, and multi-agent voice AI testing with Cekura.
12 min read
Agentic ResourcesHow to Automate Voice Agent Regression Testing With a Coding Agent
How to automate voice agent regression testing with a coding agent, plus running evals in CI and wiring GitHub Actions into the same pipeline.
10 min read
Voice AI TestingHow to Write Test Cases for Voice Agents
How to structure and write voice agent test cases with Cekura, plus how self-improving voice agents actually work and what belongs on a new voice bot go-live checklist.
9 min read
Voice AI TestingManual vs Automated Voice Agent Testing
Compare manual and automated voice agent testing: when a person listening to calls still wins, and when Cekura's automated suite, red-teaming, and CI/CD integration outperform it, against Bluejay, Hamming, and other platforms.
10 min read
Voice AI TestingOpen Source Voice Agent Testing Tools
The open source landscape for testing voice agents, from VoiceTest to LangWatch Scenario, where each tool stops, and how Cekura closes the audio-native gap.
9 min read
Agentic ResourcesProgrammatic Voice Agent Testing API
Compare Cekura's CLI, Python SDK, and MCP server against Hamming, Coval, and other platforms for programmatic voice agent testing and CI/CD integration.
9 min read
Voice AI TestingSOC2 Compliant Voice AI Testing Platform
Compare Cekura against Hamming, Coval, Roark, and other SOC 2 Type II-certified rivals for enterprise voice AI testing compliance: SOC 2, HIPAA, GDPR, data residency, and VPC deployment.
9 min read
Voice AI TestingVoice AI Testing Usage-Based Pricing
How usage-based pricing works for voice AI testing, what Cekura actually charges per credit, and what on-premise deployment really means versus a VPC option.
10 min read
Voice AI TestingVoice Audio Quality Monitoring for AI Agents
How to monitor voice audio quality for AI agents in production, how Cekura scores clarity and jitter from the audio channel, and what makes voice clarity its own signal.
9 min read
Chat Bot TestingHow to Monitor Live AI Chat Agents in Production: A What-to-Monitor Guide (2026)
How to monitor live AI chat agents in production: the conversation-layer signals, the metric stack, alerting, and the remediation loop. A what-to-monitor guide from Cekura.
10 min read
Voice AI TestingAutomated Recurring Voice Agent Tests: Scheduled Regression and CI/CD Testing That Runs Without You
Automated recurring voice agent tests run your regression suite on a schedule and in CI/CD so prompt changes, model swaps, and silent drift get caught before customers do. Here is how to set them up with cron and GitHub Actions in Cekura.
10 min read
Voice AI TestingCall Transcript QA for a Voice Bot: How to Review and Score Voice Agent Call Transcripts at Scale
Call transcript QA for a voice bot scores every call's transcript against your rules. How to review voice agent transcripts at scale with Cekura.
10 min read
Voice AI TestingHow to A/B Test a Voice AI Agent: Compare Two Versions Before You Ship
A/B test a voice AI agent by running two versions against the same scenarios, changing one variable, and comparing runs metric by metric.
10 min read
Voice AI TestingHow to Generate Voice Agent Test Cases: Create, Run, and Maintain a Test Suite
Generate voice agent test cases from the agent's purpose, run them, refine the failures, and keep the passing set as a regression suite.
7 min read
Voice AI TestingMonitor Pipecat Voice Agents in Production
Pipecat Voice Agent Monitoring with Cekura: end-to-end conversation QA for real-time voice pipelines—connect transcripts, audio, tool calls, OpenTelemetry traces, and custom metrics to detect latency, interruptions, workflow failures, and caller-experience issues.
24 min read
Agentic ResourcesTesting AI Chat Agents for Instruction-Following Failures
Test AI chat agents for instruction-following across prompts, policies, tools, structured outputs, multi-turn workflows, regression tests, and production conversations.
24 min read
Voice AI TestingBest AI Chatbot Monitoring and Observability Tools in 2026
Compare the best AI chat agent monitoring tools for production chatbots, AI assistants, and conversational AI systems, including platforms for observability, alerts, quality tracking, debugging, and performance monitoring.
20 min read
Voice AI TestingMonitoring LiveKit Voice Agents: Observability, Metrics, and Reliability
Monitor LiveKit voice agents across latency, turn-taking, tool calls, transcripts, audio quality, session reliability, dashboards, and production alerts.
20 min read
Voice AI Testing9 Best AI Chat Agent Testing Platforms for Automated QA and Evaluation (2026)
Compare AI chat agent testing platforms for automated QA, LLM agent testing, regression testing, tool-call validation, and multi-turn conversation testing workflows.
21 min read
Voice AI TestingLiveKit Voice Agent Testing Platform: QA, Regression, Load Testing
Test LiveKit voice agents with automated QA, scenario testing, and regression testing across realtime interactions, STT LLM TTS pipelines, multi-turn conversations, and tool calls.
15 min read
Voice AI TestingMonitoring ElevenLabs Voice Agents in Production: Latency, Audio Quality, and Real-Time Performance
End-to-end, audio-aware monitoring for ElevenLabs voice agents: Cekura tracks STT to LLM to TTS latency, streaming, audio quality, turn-taking, and hallucinations with real-time alerts.
13 min read
Voice AI TestingTest ElevenLabs Voice Agents: End-to-End QA and Evaluation
Test ElevenLabs voice agents with end-to-end QA and evaluation. Measure voice quality, latency, interruption handling, tool calls, and real-time performance across production scenarios.
16 min read
Voice AI TestingBest 3 Platforms to Test Vapi Voice Agents (2026)
Best tools to test Vapi voice agents across multi-turn conversations, STT/TTS audio pipelines, agent routing, QA benchmarking, and observability for production-ready voice AI.
13 min read
Voice AI Testing5 Best Tools to Evaluate Conversational AI Agents (Tested in 2026)
Discover the best conversational AI evaluation tools in 2026. Compare platforms for AI agent testing, multi-turn evaluation, and production monitoring.
6 min read
Voice AI TestingConversation Path Validation – Catch Failures Before Users Do
Validate every chatbot conversation path end-to-end with Cekura: automated testing for branching flows, multi-turn context, edge cases and real-world failures — catch problems before users do.
7 min read
Voice AI TestingConversation Replay: Catch Regressions & Instruction Drift
Use Cekura to replay real chatbot conversations and automatically catch regressions, instruction drift, and workflow failures—pinpoint and fix errors before they reach users.
6 min read
Voice AI TestingChatbot Response Consistency – Scenario-driven testing, regression baselines & monitoring with Cekura
Ensure chatbot response consistency with Cekura: scenario-driven multi-turn testing, instruction-adherence checks, persistent regression baselines, model comparisons, tool-call validation, and continuous production monitoring.
11 min read
Voice AI TestingIntent Accuracy – Automated Conversation-Level Testing with Cekura
Automatically test chatbot intent accuracy with Cekura using conversation-level automated testing, simulated scenarios, regression testing, and LLM-based evaluation to detect misclassification, intent drift, and failures before they reach production.
9 min read
Voice AI TestingBarge-In – End-to-End Interruption Metrics Across ASR & TTS
Test barge-in end-to-end with Cekura: measure interruption latency, TTS overrun, ASR transcription accuracy and recovery across ASR engines, noise conditions, and automated test scenarios.
12 min read
Agentic Resources5 Best Voice Agent Testing Platforms (2026)
Discover the 5 best voice agent testing platforms (2026) for automated call simulation, multi-turn conversation testing, regression validation, and reliability testing across real-world voice AI interactions.
9 min read