3+ hour, 8+ min ago   (1672+ words) Product updates and release notes Tests as Code, self-improving loops for cloud providers, editable call metadata, and more Keep your test cases in your repo instead of building them in the dashboard. Define scenarios, expected outcomes, and metrics in a…...

3+ day, 15+ hour ago   (1711+ words) 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. Founding Engineer, Cekura · IIT Bombay · Ex-Apple Cekura is a platform that runs regression tests…...

3+ day, 15+ hour ago   (826+ words) 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. Founding Member, Cekura · IIT Bombay (B.Tech, Mech) Compliance testing for voice AI agents…...

3+ day, 15+ hour ago   (863+ words) Voice AI testing for hospitality, retail, ecommerce, real estate and restaurants: the failure mode each vertical forces, and how to assert on it. Founding Engineer, Cekura · MS, CMU Voice AI testing for hospitality means simulating the calls a property actually…...

5+ day, 2+ hour ago   (1586+ words) Has stress-tested 5M+ voice agent minutes at Cekura. AI voice bot accuracy rates measure how often a voice agent gets things right, from transcribing what the caller said to finishing the task they called for. A vendor quoting "95% accurate" is averaging…...

1+ mon, 2+ day ago   (1660+ words) Has stress-tested 5M+ voice agent minutes at Cekura. AI voice agent testing tools exist because voice agents sound fine in demos. They break fast once live callers bring accents, interruptions, and noisy audio into the conversation. This roundup covers seven tools…...

1+ mon, 3+ week ago   (601+ words) Has stress-tested 5M+ voice agent minutes at Cekura. Voice bot testing for fintech runs a financial-services voice agent through simulated calls that probe four risk areas, each scored as a measurable pass/fail test case, not a one-time manual QA pass....

2+ mon, 3+ week ago   (1603+ words) Teams looking for tools to monitor Pipecat voice agents usually need more than uptime checks or generic LLM traces. A production Pipecat voice agent has to be monitored across the full real-time voice pipeline: sessions, transcripts, audio, latency, interruptions, tool…...

2+ mon, 3+ week ago   (686+ words) Static metrics don't survive contact with real conversations. The interesting question is how. How do your voice evals absorb that feedback automatically, without losing what they already got right? TL;DR: Static evaluation metrics break as your voice AI product…...

3+ mon, 20+ hour ago   (1496+ words) AI chat agents fail for many reasons beyond factual errors: ignoring prompt rules, breaking formatting constraints, forgetting earlier instructions, calling the wrong tool, skipping steps, mishandling policy conflicts, or drifting from the expected workflow. Instruction-following evaluation starts with one basic…...