# Brainstorming

Think of searching with [Earth Index](https://app.earthindex.ai) as an iterative process. You need to teach, through trial and error, Earth Index to find what you are looking for. You will provide examples by adding labels to a map. Earth Index will then search for similar features across your area of interest. 

Before adding labels, you need to think about what you want to find with Earth Index. 

Once you have identified what you want Earth Index to find, think about what data it needs to assist you in the search. Before you begin, brainstorm the key features of what you will want to identify:

<figure><img src="/files/NxOeOYzc6wLFGlP9Y2UF" alt=""><figcaption></figcaption></figure>

This exercise is intended to help you think about positive and negative associations in imagery. When perusing the satellite imagery to find a desired object, you want to think about what is unique about the object compared to other similar-looking objects.&#x20;

Some objects might look similar (for example, a blue swimming pool and a blue basketball court), which can affect the predictions in Earth Index. Therefore, positively associating with correct features and negatively associating with incorrect features will filter the results for a better outcome. &#x20;

Learn more about positive and negative labels on the [Assigning labels](/concepts/assigning-labels.md) page.&#x20;

{% hint style="info" %}
Still struggling with how to brainstorm? Ask questions on the Earth Index Discord to chat with others who might be able to help! Many of our users have been at this same stage and are happy to share tips & tricks.&#x20;
{% endhint %}

Once you've spent some time brainstorming, you're ready to jump in!


---

# 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.earthindex.ai/concepts/brainstorming.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.