Blog

Generic LiveKit vs Pipecat benchmarks mislead. Hold STT, LLM, TTS, prompts, and region constant, vary only the framework, and measure p95 and turn quality.

LiveKit or Pipecat? A 10-criterion decision framework with a weighted scoring worksheet, a decision tree, three worked archetypes, and a two-week POC plan.

A hands-on test plan for GPT-Live voice agents on the gpt-live-1 API: turn-taking, barge-in, tool-call arguments, latency, cost per call, and regressions.

xAI Grok Voice Agent vs ElevenLabs in 2026: cost per minute, Think Fast 2.0, voices, languages, SIP telephony, tools, compliance, and a fair test plan.

STT evaluation for voice agents: WER, entity accuracy, keyterm recall, latency and endpointing, plus normalization rules and a Python harness you can run.

LLM-as-a-judge misses real voice agent failures. See 9 failure modes backed by research, how to catch false positives, and the fixes that hold up.

Learn how to evaluate pause handling in AI voice agents: measure premature-endpoint and dead-air rates across realistic pause scenarios on real call audio.

Interruption detection decides whether a voice agent stops when a caller cuts in. Here is how to score barge-in, stop latency, and false barge-ins.

Disfluency robustness is how well a voice agent handles fillers, false starts, and self-corrections. Learn how to test it on your own real calls.