Introducing Elevenagents Spotlight

Spotlight scores every agent conversation against evals written in plain language and flags metric shifts. Teams running production voice agents get a built-in monitoring and iteration loop instead of building one.

• Spotlight lets teams search past conversation transcripts by meaning or intent, and click from topic groups sorted by resolution or sentiment straight into transcripts.
• Evals are written as plain-language criteria, such as whether the agent acknowledged the customer's frustration before offering a fix, and every conversation is scored against them without manual review.
• Its recommendations are based on each agent's configuration and conversation history, with examples given as adding tests where none exist or enabling a newer model.
• Metrics, logs and traces can be streamed to Datadog, Grafana or any OpenTelemetry backend, so agent monitoring sits alongside existing observability.

• eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.

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