> For the complete documentation index, see [llms.txt](https://docs.buzzy.buzz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.buzzy.buzz/getting-started-with-buzzy/new-buzzy-ai-v3/1.-writing-a-prompt.md).

# 1. Writing a Prompt

<figure><img src="/files/WejGoJ2Rub9uSNigtwsv" alt=""><figcaption></figcaption></figure>

Start by describing what you want to build in plain language. Prompts can range from a short description to a detailed breakdown of features or screens.

**Example prompts:**

* "A to-do list app with projects and due dates."
* "A mobile-first CRM dashboard for tracking customer interactions and sales pipelines."

Prompts can be entered:

* From the **Workspace** home screen (to start a new app)
* From the **Design > AI** section (to update an existing screen or app)

> 💡 Tip: Be specific about what the app should do, what kind of data it uses, and any particular screens or interactions you want.


---

# 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, and the optional `goal` query parameter:

```
GET https://docs.buzzy.buzz/getting-started-with-buzzy/new-buzzy-ai-v3/1.-writing-a-prompt.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
