> For the complete documentation index, see [llms.txt](https://docs.ovaledge.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ovaledge.com/release8.3/ai/ai-prompt/curation-by-ai-questions.md).

# Curation by AI Questions

Curation by AI Questions collects additional information about data objects and business terms. The answers provide context that helps the AI generate more meaningful descriptions.

For example, a prompt question can ask about:

1. The purpose of a table.
2. The business meaning of a column.
3. The purpose of a business term.
4. The context in which an object is used.

The prompt question repository allows questions to be organized by:

1. Object Type
2. Description Type
3. Connector-specific or Global scope

## Object Types

AI Prompt questions can be configured for the following object types:

* Schema
* Tables
* Table Columns
* Files
* File Columns
* Reports
* Report Columns
* APIs
* API Attributes
* Codes
* Business Glossary

## Description Types

The available description types depend on the selected object.

### Data Catalog

For Data Catalog objects, questions can support:

![](https://content.gitbook.com/content/8fgltewNgYZ8ucAp7Svt/blobs/ljSPm4ENEWJTN9ucOiHe/unknown.png)

* Business Description
* Technical Description

#### Business Glossary

For Business Glossary objects, questions can support:

![](https://content.gitbook.com/content/8fgltewNgYZ8ucAp7Svt/blobs/vdoW4dOxn0RlWoveOJzi/unknown.png)

* Business Description
* Detailed Description

***

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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
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.ovaledge.com/release8.3/ai/ai-prompt/curation-by-ai-questions.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 `automate deployments from our CI pipeline` 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.