Blog

Voice agent testing vs monitoring vs evaluation vs observability: what each term means, when to use it, and how they fit into one loop.

OpenTelemetry for voice agents traces every turn across STT, LLM, and TTS. Learn the GenAI conventions, the spans to emit, and how to instrument it.

Improve WER for your voice agent with custom vocabulary, cleaner audio, model choice, and tuning. A practical guide to reducing word error rate per cohort.

TTS evaluation measures text-to-speech naturalness, intelligibility, latency, and pronunciation. Learn the metrics, MOS, and how to test a voice.

STT evaluation measures speech-to-text accuracy under real conditions: accents, noise, and jargon. Learn the metrics, the method, and what benchmarks miss.

Word error rate measures speech-to-text accuracy via substitutions, deletions, and insertions over total words. Learn how to calculate it and its limits.

The best LLM for voice depends on latency, instruction following, and tool calling. Compare GPT, Claude, and Gemini, and learn how to choose.

Self-improving voice agents get better from production feedback. Learn how the loop works, where it differs from retraining, and how to keep it safe.

Full-duplex voice agents listen and speak at once, enabling barge-in and interruptions. Learn how they differ from half-duplex and how to test them.