> ## Documentation Index
> Fetch the complete documentation index at: https://www.getmaxim.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Online Evaluation Overview
> Get a quick overview of Maxim’s online evaluation capabilities. Learn how you can automatically assess AI performance at multiple levels (session, trace, and node) in real time to maintain quality and reliability in production.
## What Is Online Evaluation?
Online evaluation is a key part of Maxim's platform, enabling you to continuously monitor and assess your AI application's quality in production. Maxim supports multi-level evaluation, allowing you to assess quality at different granularities:
* **Session-level**: Evaluate entire multi-turn conversations to assess overall conversation quality, coherence, and user satisfaction
* **Trace-level**: Evaluate individual single-turn interactions to measure response quality, accuracy, and appropriateness
* **Span-level (Node-level)**: Evaluate specific components within a trace (e.g., generations, retrievals, tool calls) to optimize individual parts of your workflow
With online evals, you can:
* Automatically evaluate logs based on custom filters and sampling rules
* Configure evaluators at different levels through the UI (Session/Trace) or SDK (Span/Node)
* Map evaluator variables to your trace data for flexible evaluation
* Combine automated evaluators with human review
* Curate datasets from evaluated logs for offline testing
* Set up alerts to stay on top of both quality and performance issues
This multi-level approach ensures your AI remains reliable and effective as it interacts with users in live environments, giving you comprehensive visibility from high-level conversations down to individual components.
[Schedule a demo](https://getmaxim.ai/demo) to see how Maxim AI helps teams ship reliable agents.