> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.ada.cx/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.ada.cx/_mcp/server.

# Reports

> **Tip**
>
> **Not sure where to begin?** Explore our [Getting started](/docs/welcome/getting-started) guidelines to set up your first AI Agent, review [Key concepts](/docs/welcome/key-concepts) to understand the essentials, or check out [Improvement tactics](/docs/welcome/improvement-tactics) to resolve issues and keep things running smoothly.

Reports help you track important metrics and gain insights into how your agent is doing.

> **Note**
>
> Before getting started with evaluating performance reports, make sure your AI Agent's core elements—like [Knowledge](/docs/knowledge), [Actions](/docs/automation/tools/api-tools), and [Processes](/docs/automation/processes)—are in place. Other core features may also apply depending on your setup.

This section covers how to use reports to better understand your AI Agent’s performance. You’ll learn about the [different types of reports available](/docs/optimization/performance/reports/performance-reports#report-details), [how to filter the data to see what matters most](/docs/optimization/performance/reports/performance-reports#filter-report-data), and [how to print reports for sharing or review](/docs/optimization/performance/reports/performance-reports#printing). These tools help you make informed decisions and improve the customer experience.

![Reports](/_fern-img/23fbcc4481f7a51054bfbeaa5b1819e403d950fa81a2852b70694374de0c5915.webp)

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Have any questions? Contact your Ada team, or email us at [](mailto:help@ada.cx?subject=Help%20Docs%20inquiry).