# FAQ

{% hint style="info" %}
**Not finding what you are looking for?**

This FAQ is evolving all the time. If you don't find what you are looking for, ask us in [Slack](https://aito.ai/join-slack).
{% endhint %}

**What can I predict?**

aito.ai works best for predicting categories, such as short strings, single and multiselects, collaborators and so forth. We may at later stage add support for other types of inference, such as regression ("forecast a numeric value").

**How can I delete data from my instance?**

Deletion in easiest done through the Console, where you have access to all the tables in your instance.

![Screenshot 2021-09-14 at 11.12.45.png](/files/5zftY8FzLpqfGwEOp26a)

**Where can I read more about security?**

Check our [general FAQ](https://portal.document360.io/v1/docs/general).

**Can I edit the extension source code?**

aito.ai Instant Predictions extension is open source, find the repository [here](https://github.com/AitoDotAI/aito-instant-predictions-for-airtable).

**How can I contact you?**

The fastest way to reach us is through our [Slack Community](https://aito.ai/join-slack). Find people with (aito.ai) in their names! 🙌


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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.aito.ai/integrations/airtable/faq.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.