# AI Pipeline Assistant

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Note that this feature is only available for certain Tenants. Contact us if you need to use it and don't see it in your Tenant.
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## Overview

The **Pipeline Assistant** is an AI-powered chat feature designed to help users design and build their [Pipelines](/the-workspace/pipelines.md). Any configuration requested through the chat will be automatically applied. Simply enter the results you expect from your Pipeline and the AI will generate a Pipeline structure according to your needs.

To start using it, create a new Pipeline, drag a Listener, and just click this icon at the bottom left corner:

<figure><picture><source srcset="/files/YFAuYOZ2erJQ9lsz73Ku" media="(prefers-color-scheme: dark)"><img src="/files/8bSBfX0bBQxz0nRMa042" alt=""></picture><figcaption></figcaption></figure>

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Note that this AI Assistant only creates Pipeline structures. The individual Actions in the generated Pipeline won't be configured. You can use our [Action Assistant](/the-workspace/pipelines/building-a-pipeline/ai-assistant/ai-action-assistant.md) to help you configure your Actions.
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## Examples

Here are some example use cases where we ask for help from the Pipeline Assistant. Check the prompts we use and the resulting configuration in each example picture.

#### Filter most common priorities

<figure><picture><source srcset="/files/2nrwgF7NDhwRTMRbfw8Y" media="(prefers-color-scheme: dark)"><img src="/files/v5PoctdTI0az6dLBD2V7" alt=""></picture><figcaption></figcaption></figure>

#### Send a report of aggregated data to Jira

<figure><picture><source srcset="/files/zkeKpDySEkxy4DkRVYb7" media="(prefers-color-scheme: dark)"><img src="/files/SGdwwNfWr7wsk9u0ibyz" alt=""></picture><figcaption></figcaption></figure>


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# Agent Instructions: 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.onum.com/the-workspace/pipelines/building-a-pipeline/ai-assistant/ai-pipeline-assistant.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.