> For the complete documentation index, see [llms.txt](https://docs.parcellab.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.parcellab.com/docs/platform/overview/insights-agent.md).

# Insights Agent

## What's New

The Insights agent is a powerful AI tool contained within the <code class="expression">space.vars.Product\_pLApp</code>, that you can use to quickly gain insight into your post-purchase performance and access data-driven recommendations for improvement.

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Increased speed to insight</strong></td><td>Report summaries via Copilot highlight noteworthy patterns in your data and allow you to home in on crucial areas for improvement.</td><td></td></tr><tr><td><strong>Smart recommendations for data-driven improvement</strong></td><td>Each recommendation includes links to the relevant App features to optimize your post-purchase configuration.</td><td></td></tr><tr><td><strong>Chat with your data</strong></td><td>Use Copilot to dive deeper into key aspects and metrics for specific data insights from the report.</td><td><a href="/pages/2Vk9P6eBpkJCGtDjazr6#chat-with-your-data">/pages/2Vk9P6eBpkJCGtDjazr6#chat-with-your-data</a></td></tr></tbody></table>

## Take the Tour

Preview the Insights agent with our interactive demo below.

{% embed url="<https://app.storylane.io/share/x7soostv1hrw>" %}


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.parcellab.com/docs/platform/overview/insights-agent.md?ask=<question>&goal=<endgoal>
```

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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.