> For the complete documentation index, see [llms.txt](https://docs.walnutai.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.walnutai.ai/getting-started/projects/create-a-new-project.md).

# Create a New Project

Creating a new project in Walnut is a streamlined and organized process that enables you to quickly set up your workspace, configure AI models, and optionally connect existing tools and data sources.

The setup is completed in three main steps:

* [**Project Setup & AI Model Selection:**](/getting-started/projects/create-a-new-project/project-setup-and-ai-model-selection.md) Define your project name and choose the AI model that will drive your project’s intelligence.
* [**External Data & Connections:**](/getting-started/projects/create-a-new-project/external-data-and-connections.md) Select and configure the third-party tools you want to connect to your project to import existing data.
* [**Review & Create Project:**](/getting-started/projects/create-a-new-project/finalizing-the-project-setup.md) Verify your project settings and finalize the creation process.

This guide walks you through each stage from project initialization and AI model to data integration and final launch ensuring your workspace is fully prepared for active use.


---

# 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://docs.walnutai.ai/getting-started/projects/create-a-new-project.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.