> For the complete documentation index, see [llms.txt](https://docs.revenium.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.revenium.io/get-started/quickstart.md).

# Quickstart

- [5-Minute Quickstart](https://docs.revenium.io/get-started/quickstart/5-minute-quickstart.md)
- [Connecting Providers](https://docs.revenium.io/get-started/quickstart/connecting-providers.md)
- [API Data Sources & OTLP](https://docs.revenium.io/get-started/quickstart/api-data-sources-and-otlp.md)
- [Connect Your Agent](https://docs.revenium.io/get-started/quickstart/connect-your-agent.md)
- [Workspace Connections](https://docs.revenium.io/get-started/quickstart/workspace-connections.md)
- [Examples](https://docs.revenium.io/get-started/quickstart/examples.md): Three outcome-based examples that show how Revenium connects AI cost, tool usage, traces, and business value.
- [AI Sales Agent Example](https://docs.revenium.io/get-started/quickstart/examples/ai-sales-agent.md): Measure whether an AI-assisted sales workflow creates enough revenue to justify model, tool, and human review costs.
- [AI Coding Workflow Example](https://docs.revenium.io/get-started/quickstart/examples/ai-coding-workflow.md): Measure engineering value from AI coding workflows by connecting model calls, tools, traces, human review, and outcomes.
- [AI Customer Support Agent Example](https://docs.revenium.io/get-started/quickstart/examples/ai-customer-support.md): Measure support deflection by connecting ticket workflows, tool costs, human escalation, and resolved-ticket outcomes.


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# Agent Instructions
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## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.revenium.io/get-started/quickstart.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.