# myNeutron Assistant

The **myNeutron Assistant** is your built-in AI companion inside myNeutron.\
It helps you search, summarize, and understand everything stored in your Seeds and Combined Contexts.

It is powered by **Kayon**, a deep reasoning engine designed for context-aware understanding.

The Assistant connects your knowledge with practical use.\
It reads your memory, finds patterns, and gives you clear, source-backed insights.

Think of it as your personal AI analyst.\
It always knows what you’ve saved, keeps context across sessions, and never sends your data outside your workspace.

***

#### What the myNeutron Assistant Does

The Assistant lives inside your **Dashboard** and **Context Studio.**\
It works only with your private Seeds and Contexts.\
No external data is accessed or processed unless you include it.

You can chat with it directly in **Query Seeds** mode to ask questions, get summaries, or combine insights from multiple sources.\
It helps you turn raw data into useful knowledge you can share or use with other AIs.

***

#### Key Features

* Ask questions about your Seeds or Combined Contexts in plain language.
* Summarize long documents, PDFs, or emails instantly.
* Detect links between ideas, files, or projects.
* Generate clean, ready-to-use briefs.
* Connect easily with Claude, Cursor, VS Code, and other MCP tools.
* Keep all responses private and limited to your workspace.

***

#### Private by Design

Everything stays inside your account.\
Nothing is shared or used for model training.\
The myNeutron Assistant reads and responds within your environment only.


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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://neutron-4.gitbook.io/neutron-docs/getting-started/myneutron-assistant.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.
