
How to Evaluate a Realtime Voice Agent API
Measure latency, interruptions, transcription quality, tool safety and recovery before using a realtime voice agent in production.
Save and restore browser sessions, organize too many tabs, and keep useful notes beside your sources. Explore product updates and research workflows.

Measure latency, interruptions, transcription quality, tool safety and recovery before using a realtime voice agent in production.

Test an AI coding workspace on repository understanding, plan quality, code review, security boundaries and reproducible validation.

Evaluate guardrails with adversarial prompts, retrieval attacks, false positives, logging and application-level authorization.

Assess terminal coding agents through repository scope, command review, worktree isolation, tests and recovery from failed changes.

Measure retrieval recall, reranking quality, latency and grounded answers with a labeled dataset instead of relying on a vendor demo.

Evaluate physics AI through documented tasks, conservation checks, simulation baselines and limits on real-world generalization.