Find and fix AI agent failures

The evaluation and improvement layer for AI agents. Trace every step, identify root causes, and improve your agent's completion rate.

Pioneering research on agent evals

Read more about our research on categorizing failure modes on τ-bench in our blog.

A graph showing failure modes categorized from the TAU Bench retail agent study we conducted.
Test it on your workflow
Test it on your workflow
01

Identify errors quickly

Automatically identify and classify top failure modes across thousands of traces, saving countless hours of manual inspection.

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02

Understand traces easily

See exactly where the agent made critical errors, highlighted automatically in our workflow UI. Gain immediate clarity on complex execution paths.

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03

Correct errors intelligently

Plug in our eval toolbox to help agents recover from errors and self-correct. Reduce terminal failures and transform failed runs into completed tasks.

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04

Get started

Change a few lines of code to start observing your agent workflows and get automated insights to improve your performance.

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Fix agent failures

Find out where your AI agents are going wrong.
Eliminate blind spots and go from prototype to productionready.