# Data Models

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Humans and AI work better with all the context united, integrated. Now in Nimbalyst, build your data model with AI based on your code and markdown docs. Then, use that data model and your docs to write better code.

* **Ask AI to create a Data Model:** Use the /datamodel command and specify what you want
* **Edit the Data Model:** We've built a visual editor where you can edit the data model yourself or ask for edits from Claude in the chat panel. Click on the data model file to auto-open the editor.
* **Embed the Data Model:** Use / in the doc to embed a live screenshot of the data model in your markdown
* **Store and Export the Data Model:** We stored the data model as a .prisma file in your filesystem /git. Export the data model as a SQL DDL, JSON Schema, DBML, or JSON (DataModelLM) format

<figure><img src="/files/qEMzDgRrgGxC95ifPQdt" alt=""><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.nimbalyst.com/visual-editors-powered-by-ai/data-models.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.