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

# Overview

This section outlines a structured, evaluation-driven approach to refining LLM application performance. It explains how users can test, validate, and compare different prompt configurations, datasets, and evaluation methods to achieve consistent and reliable AI-generated outputs.

This section covers:

* What is experimentation.
* Why experimentation is necessary.
* Key benefits of systematic AI evaluation and improvement.
* How experimentation works, from defining test cases to deploying refinements.

<CardGroup>
  <Card title="Concept" icon="lightbulb" href="/future-agi/get-started/experimentation/concept">
    Learn the fundamentals of AI experimentation
  </Card>

  <Card title="How To" icon="code" href="/future-agi/get-started/experimentation/how-to">
    Step-by-step guides for running experiments
  </Card>
</CardGroup>