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What causes jitter on VoIP and voice AI calls: queueing, serialization, route changes, and the sender itself. Get the five-step per-call diagnosis checklist.

CI/CD testing for voice AI agents: what should gate a merge, GitHub Actions setup, build vs buy, and how platforms compare on audio, repeats, and price.

How to test enterprise authentication flows in voice agents: identity gates, DTMF and OTP paths, red-teaming, and CI regression, and how Cekura verifies each layer.

How Cekura regression-tests Pipecat voice agents after each prompt change: CI/CD triggers, repeated runs, and benchmark reliability and task-completion data.

Cekura's programmatic voice agent testing API: a CLI, Python SDK, MCP server, and CI/CD gate for running and scoring voice-agent tests as code.

An SDK for automating voice agent tests defines scenarios in code, triggers runs, and returns structured results. Compare LiveKit, Pipecat, Vapi, Retell and Cekura.

AI outbound calling explained: the dial to disposition loop, where campaigns break, what the TCPA actually requires, and how to test agents before you dial.

Answering machine detection classifies who picked up an outbound call. How both approaches work, what accuracy is real, and the two-second legal limit.

The best AI evaluation tools for production, judged on five buying criteria: live scoring, a pinnable judge, sample size, reproducibility, voice coverage.

A practical guide to Cartesia text to speech: what Sonic 3.6 actually ships, where the vendor latency claim stops, and how to test voice quality yourself.

The common failure points in AI phone agents, from endpointing and dead air to dropped tool arguments, with the delay budgets and tests that catch each one.

How to evaluate a SOC2 compliant voice AI testing platform: what a SOC 2 Type II report actually covers, why the vendor's own posture matters once it holds your call recordings, and how PCI work differs. SOC 2 covers the platform, not your agent.