# Examples and use cases

## This page is outdated. Please [visit here for the most up-to-date content](https://www.secondstate.io/tags/use-case/).

In this series of tutorials, we will demonstrate how to write and deploy Rust functions to perform encryption, machine learning, and artificial intelligence tasks in Node.js applications.

{% content-ref url="/pages/-M5cTEcxiDhBvbl5zYZX" %}
[Encryption and decryption](/server-side-webassembly/examples-and-use-cases/encryption-and-decryption.md)
{% endcontent-ref %}

{% content-ref url="/pages/-M5cTSFiw0l5qKnk2AuA" %}
[Machine learning](/server-side-webassembly/examples-and-use-cases/machine-learning.md)
{% endcontent-ref %}

{% content-ref url="/pages/-M5cTavdo4pFZGoXu5l2" %}
[Artificial intelligence](/server-side-webassembly/examples-and-use-cases/artificial-intelligence.md)
{% endcontent-ref %}


---

# 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://cloud.secondstate.io/server-side-webassembly/examples-and-use-cases.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.