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

# Bitpool AI

Bitpool AI is a smart building analytics platform that helps you get more value out of your building and asset data.

By connecting to your existing systems, Bitpool AI collects and analyses live data to give you clear insights into how your buildings are performing.

With Bitpool AI you can:

* **Monitor performance** – Track how your buildings and assets are operating in real time.
* **Detect issues early** – Identify faults or unusual behaviour before they become bigger problems.
* **Save energy and costs** – Find opportunities to improve efficiency and reduce waste.
* **Gain portfolio visibility** – Compare performance across multiple buildings in one place.

{% embed url="<https://www.youtube.com/watch?v=biSjf2RThko>" %}
Bitpool AI Demo Video
{% endembed %}

Bitpool AI can be used in three key areas of the Bitpool system:

1. **Bitpool AI Chat** – An interactive chat tool that lets you ask questions about your building or asset data and get instant, AI-powered insights in plain language.
2. **Bitpool AI Widget** – A quick-access widget embedded into dashboards, helping you analyse trends, detect anomalies, and surface key insights without leaving your workflow.
3. **Bitpool AI Insights in Reports** – Automated, AI-enhanced reports that highlight performance, faults, and opportunities for improvement, making it easier to share insights with your team or clients.

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td>Bitpool AI Chat</td><td><a href="https://166787877-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfTT6slojhBck2gQBNLw4%2Fuploads%2Fs1wBoP6Fps8M4jZZhASv%2FBitpool%20AI%20Chat.svg?alt=media&amp;token=9149f767-9766-4a77-aa50-0c57ec0c59bd">Bitpool AI Chat.svg</a></td><td><a href="/bitpool-cloud-platform/bitpool-cloud-platform/bitpool-ai/bitpool-ai-chat.md">Bitpool AI Chat</a></td></tr><tr><td>Bitpool AI Widget</td><td><a href="https://166787877-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfTT6slojhBck2gQBNLw4%2Fuploads%2F48LjkzNEgc1KCkJOnuKg%2FBitpool%20AI%20Widget.svg?alt=media&amp;token=a9b32f62-a4e6-428c-bf24-6176a8ee5205">Bitpool AI Widget.svg</a></td><td><a href="/bitpool-cloud-platform/bitpool-cloud-platform/dashboards/widget-groups/display.md#ai-button">Display</a></td></tr><tr><td>Bitpool AI Insights in Reports</td><td><a href="https://166787877-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfTT6slojhBck2gQBNLw4%2Fuploads%2FNV5KPJj4AppuyzEAHTLe%2FBitpool%20AI%20Reports.svg?alt=media&amp;token=be3535ac-abec-4b93-8957-43dc0e12b686">Bitpool AI Reports.svg</a></td><td><a href="/bitpool-cloud-platform/bitpool-cloud-platform/reports/report-and-template-elements/bitpool-ai.md">Bitpool AI</a></td></tr></tbody></table>


---

# 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
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 following URL with the `ask` and `goal` query parameters:

```
GET https://wiki-cloud.bitpool.com/bitpool-cloud-platform/bitpool-cloud-platform/bitpool-ai.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `build a script that syncs our docs to a CMS` lets GitBook tailor the answer to that use case.

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.