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How cold calling AI works, where AI cold callers fail, and what FCC, TCPA and FTC rules require. Get the nine compliance checks to run before you dial.

Compare an AI phone system with a traditional automated phone system: what it handles, October 2026 costs, and an 8-step test checklist to use before launch.

How to test voice agents in background noise: noise types, SNR sweeps, codecs, real recordings, metrics and fixes, with benchmark data. Get the 5-step plan.

Learn the 9 types of contact center testing, from IVR menus to AI voice agents, what to measure and what it costs. Use the 7-step plan to build your test suite.

Function calling and tool-use testing for voice agents: six ways tool calls fail on calls, how to mock and assert them, and a tool-call metric table to copy.

Guardrail and jailbreak testing for voice AI agents: rules to test, role-play and audio attacks, over-refusal rates, and a guardrail-by-attack table to copy.

What intent recognition is, how classifiers and LLM agents handle it, which metrics expose errors, and how ASR shifts accuracy. Get a 6-step test plan.

Knowledge base accuracy testing for voice bots: six failures, the metrics that catch them, and a test set with known answers. Get the failure-mode table.

How to monitor Ultravox voice agents in production: what Ultravox records, how to relay call.ended data to Cekura, and which metrics to set. Get the field map.

What is P50? Learn what P50, P90 and P95 mean, how to calculate each with a worked example, and why voice agents track them. Use the percentile cheat sheet.

Compare five MCP tools for AI agent QA by job: voice and chat agent tests, browser checks, CI logs, production errors and MCP server checks. See the table.

Emotion detection in voice bot calls: the acoustic signals it reads, accuracy on real phone audio, EU AI Act limits, and a four-step checklist to measure it.