> ## Documentation Index
> Fetch the complete documentation index at: https://arize-ax.mintlify.site/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Experiment, monitor, and export traces

> Run experiments against curated datasets, evaluate production traffic, configure monitors, and export traces to a coding agent.

Improvement doesn't end at launch. Run experiments against curated datasets to prove a change is genuinely better, evaluate production traffic as it flows, configure monitors that surface problems early, and export traces to a coding agent that turns failures into fixes.

## Datasets and experiments

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Curate a dataset of test cases and run experiments to prove a change is a genuine improvement.

## Online evaluations on production traffic

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Run evaluations automatically against live production traffic to catch regressions as they occur.

## Monitors and alerts

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Configure monitors and alerts so you detect problems before your users do.

## Export traces to a coding agent

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Send traces to a coding agent to turn observed failures directly into fixes.

## Up next

<Card title="AI agent mastery" href="/ax/learn/courses/ai-agent-mastery/overview" icon="graduation-cap">
  A deep dive on building, observing, evaluating, and improving production agents.
</Card>