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

# What Types of Evaluators does Maxim Provide?

> Maxim's unified evaluation framework supports both pre-built evaluators and custom evaluators. Custom evaluators are quality metrics tuned to your specific outcomes and can be created across multiple types:

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* **AI-based Evaluators**: Build LLM-as-judge evaluators using different models and parameters based on your requirements.
* **Human Evaluators**: Set up human raters to review and assess AI outputs, capturing nuanced quality control across the full lifecycle.
* **Programmatic/API-based Evaluators**: Integrate code-based or API-driven checks for objective, deterministic assessments.
  Maxim allows teams to version custom evaluators to tune outcomes and align them to human preferences as AI agents evolve.
  Maxim provides a collection of pre-built evaluators in the Evaluator Store that you can use immediately for your AI evaluation needs. These include high-quality evaluators from Maxim and popular third-party evaluators like Google, Vertex, OpenAI.
  (See: Learn more about the evaluator store here.)