2 posts tagged with "LLM"

AI-powered agents are now part of critical business workflows—support, onboarding, sales, internal tooling. Yet most teams have no clear view of how those agents are actually performing. Are users satisfied? Are responses helpful? What’s causing drop-offs?

To manage what matters, you need to measure what matters.

In this post, we break down the seven most important metrics your team should be tracking to improve any chatbot or LLM agent.

“If you don’t measure it, you can’t improve it.”
Yet most LLM agents in production today operate without any real observability.

LLMs are being used to build assistants, search interfaces, support agents, and recommendation layers. But even as these systems become increasingly advanced, few organizations can confidently answer the question:
How is my agent performing?

This is the measurement gap.