How to Create AI Judge Metrics You Can Trust
How to use human review in Coval to calibrate your LLM-as-a-judge metrics: label conversations, check agreement, read disagreements, fix the prompt, and re-test.
Coval raises $28M Series A to make voice AI deployment-ready →
Coval's observations on developing and shipping AI voice agents
How to use human review in Coval to calibrate your LLM-as-a-judge metrics: label conversations, check agreement, read disagreements, fix the prompt, and re-test.
Best TTS providers in 2026: ElevenLabs v3, Cartesia Sonic 3, OpenAI Realtime, Deepgram Aura-2, Vapi Voices. Latency, pricing, voice cloning. See the guide.
Vapi review for 2026: Composer builder, Vapi Voices, Monitoring, Evals, Simulations, GPT-5 + Realtime, and post-Series B pricing. Read the guide.
ElevenLabs voice cloning in 2026: IVC vs PVC requirements, Eleven v3 vs Flash v2.5, Scribe v2 STT, ElevenAgents, and the May pricing reset. Read the guide.
Voice agents are software. CI/CD pipelines with automated eval gates are how mature teams ship them. Patterns, tools, and pipeline design.
Voice AI testing build vs. buy: most teams build first, then hit the wall. The framework, the math, and what good buying actually looks like.
Voice AI regression testing turns whack-a-mole shipping into safe iteration. Methodology, scenario design, and tooling for production teams.
Independent TTS benchmarks from Coval: how Gradium, ElevenLabs, Cartesia, Rime, and OpenAI compare on time to first audio and word error rate.
Why voice AI in production handles 60-70% of calls when staging suggested 95%. The conditions test sets miss, and how Coval teams close the gap.
Voice observability tells teams whether AI agents are working in production. Coval's complete guide to behavioral monitoring at scale. Read the guide.