Blog
Insights on voice AI evaluation
Human Testers vs. Synthetic Callers | Voice Agent QA Guide
Synthetic callers for voice agent testing cover 10,000+ scenarios per day across accents, noise, and latency profiles. Learn why manual QA can't scale — and how to fix it.
The Regression Problem: Why Updating Your LLM Breaks Production
You shipped a better model. It benchmarked higher, responded faster, and handled edge cases more gracefully. Then production metrics cratered. Welcome to the regression problem.
Stress-Testing Voice AI: Finding Your Agent's Breaking Points
Every voice agent has limits. The question isn't whether they exist—it's whether you've found them before your users do. A systematic approach to behavioral limit testing.
LLM-as-Judge is Not Enough: Why Transcript Analysis Falls Short
Using GPT to grade your voice agent's transcripts feels like progress. But when you look closer, you'll find that transcript analysis misses the failures that matter most.
Beyond the Demo: Why Voice Agents Break in the Real World
The demo went flawlessly. Then came the support tickets. Understanding the gap between controlled testing and production chaos is the first step toward building voice agents that actually work.