> For the complete documentation index, see [llms.txt](https://docs.laminar.run/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.laminar.run/building-an-integration/spotlight-build-workflows-with-ai.md).

# Spotlight: Build Workflows with AI

Laminar has an integrated AI Chatbot called *Lami* that can significantly accelerate your workflow creation process based on your natural language descriptions.

{% hint style="info" %}
When working with APIs, it is recommended to **attach OpenAPI specifications or Postman collections** as context. These provide the AI with invaluable context about the structure and capabilities of your target APIs, leading to much more accurate and relevant generated workflows and code.
{% endhint %}

## **How it Works**

1. Start a conversation with the AI Chatbot and simply **describe the workflow you want to build** in plain English (e.g., "I need to send incoming order to fulfillment centre and update the order status and tracking url").
2. The AI will analyze your request and generate a draft workflow, complete with steps and step program code snippets.
3. You can then review the AI's suggestions, **approve** them to add to your workflow, **reject** them, or **modify** them as needed.

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FeyfSRRmLEurvKZJcO0Tg%2Fuploads%2Fd57guP2zF3os6ykiPv4B%2FBuild%20workflow%20with%20AI.mp4?alt=media&token=25ff008f-40d0-401a-943a-bc05c5ca817f>" %}


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# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.laminar.run/building-an-integration/spotlight-build-workflows-with-ai.md?ask=<question>
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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.