# Quickstart

### Initialize a Demo Project

On the projects page, you can create a new project from scratch with the + button or choose a demo dataset from the list of options:

<figure><img src="/files/DiJLRtFO9wVLvBgRs4fn" alt=""><figcaption></figcaption></figure>

When you choose a demo dataset, the project will import the sample data and populate relevant fields and examples. This is an easy way to explore the features that Entry Point AI has to offer without needing to bring any custom data.

Demo projects are meant to showcase the diverse types of projects you can build with Entry Point. They are suitable for exploration and even provide [enough data to fine-tune a model.](/guides/build-a-dataset/quantity-and-quality-of-data.md#how-much-data-do-i-need-for-fine-tuning)&#x20;

### Next Steps

Next, you may want to connect at least one [model provider](/key-concepts/model-providers.md), explore background information about other key concepts like [templates](/key-concepts/templates.md) or [fields](/key-concepts/fields.md), or jump straight into our guide on [how to evaluate a prompt.](/guides/evaluate-a-prompt.md)


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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.entrypointai.com/getting-started/quickstart.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.