> For the complete documentation index, see [llms.txt](https://academy.gooey.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.gooey.ai/ai-for-impact/how-does-gooey.ai-agent-builder-work.md).

# How does Gooey.AI Agent Builder work?

{% embed url="<https://youtu.be/4wGKQAGUm48>" %}

* **Instructions**: Write your LLM Prompt here
* **Language Model**: Choose your Language Model here
* **Knowledge Base**: Add your expert knowledge documents here. These can be in PDF, Google Drive, Excel, Word Doc, OneDrive formats&#x20;
* **Capabilities**: Enhance your AI Agent with Speech Recognition, Text-to-Speech, and Translation capabilities&#x20;
* **Chatbot Preview**: Test your AI Agent in the Preview section

<figure><img src="/files/gchYq1puPJojI8Vrvcqa" alt=""><figcaption></figcaption></figure>

Other Tabs

* **Examples:** All published examples are here
* **API:** A pre-populated API code snippet for your AI Agent is here
* **History**: All runs for the AI Agent saved in your Workspace are here. These include all the test runs from the AI Agent Builder and API calls.&#x20;
* **Saved**: All your saved AI Agent workflows are here; you have the option to make them private or public
* **Integrations:** Start deploying your AI Agent from the Deploy Tab

<figure><img src="/files/nOz7kwC2UB0FrQ53hDJH" alt=""><figcaption></figcaption></figure>


---

# 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 current page URL with the `ask` query parameter:

```
GET https://academy.gooey.ai/ai-for-impact/how-does-gooey.ai-agent-builder-work.md?ask=<question>
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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.
