# Introduction

### Welcome to Sparkable AI

Sparkable was designed to be an easy to use prototyping tool for entrepreneurs, product owners, and hackers who may not have much coding experience. We believe it should be easy to quickly take your great ideas and make them into usable applications. 

<figure><img src="https://1048740659-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FERNt3R4Ymeh7ucezOc3N%2Fuploads%2FEZGbofontMcmTlrpwz5S%2FScreenshot%202024-10-17%20at%206.31.44%E2%80%AFPM.png?alt=media&#x26;token=20c04a37-263a-4f23-b148-f4b7e3e48ad8" alt=""><figcaption></figcaption></figure>

Creating your first application in Sparkable is as easy as asking a question

> Create me a landing page with a friendly welcome message and an email collection form that adds users to a waitlist

Sparkable will generate a working application that you can run, share, and preview live.

### Looking for Ideas?

You can find demo applications ready to use in the left hand panel in the application or right on the [Sparkable Homepage](https://sparkableai.com)

### Feeling Luck?

A little short on inspiration or just looking for something new?  Try Sparkable's "feeling luck" icon to generate something completely random.  Have fun exploring!

<figure><img src="https://1048740659-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FERNt3R4Ymeh7ucezOc3N%2Fuploads%2FhSUnCMxlBaX20M4ZjAtz%2FScreenshot_2024-09-13_at_5_05_07%E2%80%AFPM.png?alt=media&#x26;token=c18cbe11-be5a-48c5-8eae-39211284b311" alt="" width="58"><figcaption><p>Feeling Lucky?</p></figcaption></figure>

### Stay Connected

Stay up to date with product updates and releases or connect with the Sparkable community.  Follow us on [Twitter/X](https://x.com/DailySkunkwork) for the most up-to-date Sparkable info.

### Support

The best way to contact us is though the on site chat widget.  It quick and easy, and we promise to do our best to get back to you in a timely manner.

### Email

Feel free to email us with and questions or feedback at [sparkable@ae.studio](#email)


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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.sparkableai.com/introduction.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.