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

# Does Maxim Support Human-in-the-Loop Evaluation for Agents?

> Maxim provides comprehensive support for human-in-the-loop workflows across the AI development lifecycle. You can leverage internal or external domain experts seamlessly on the platform to:

* **Balance auto-evals with the last mile of human reviews**: While LLM-judges or programmatic evals provide scale, human evaluations capture nuanced quality signals that auto evals might miss.
* **Curate golden datasets**: [Human-annotated](https://www.getmaxim.ai/docs/offline-evals/via-ui/prompts/human-annotation#human-annotation) datasets are key to defining what "good" means for your specific use case, forming the foundation for effective offline evaluation.
* **Align LLM judges**:  LLM judges must be aligned with human preferences continuously to ensure they are tuned to your agent-specific outcomes.


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