Introduction to Arize AX and evals

An introduction to Arize AX, why evaluation is foundational to improving AI applications, and how traces and evals work together.

Arize AX helps teams observe, evaluate, and improve AI applications. Every workflow it supports builds on two core concepts: traces, which record what your application did, and evals, which measure how well it did it.

Why AI agents break in production (and why you need evals) | Ep. 1

An introduction to Arize AX and why evaluation is the foundation for building AI applications you can trust.

Traces and evals explained: the building blocks of AI and agent testing | Ep. 2

Traces capture every step your application takes; evals turn those records into measures of quality.

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Instrument an agent and review traces

Connect your application to Arize AX and see its traces arrive in real time.