# Getting Help in μLearn

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**TLDR:** Most questions in μLearn have a self-serve answer. This page tells you where to go first and when to escalate.
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Before raising a support ticket check if your question already has an answer.Most questions in μLearn fall into one of four categories. Find yours below and go directly to the right place.

### <mark style="color:$primary;">"I want to partner with μLearn"</mark>

This is not a support issue. This is a partnership conversation.

→ Go to **\[Section 10 - Partner Engagement]** to understand how partnerships work and how to start one.

→ Or email directly: **<info@mulearn.org>**

### <mark style="color:$primary;">"I want to get involved / join μLearn"</mark>

This is not a support issue. This is an entry question.

→ Go to **\[Section 1 - Start Here]** and follow the map.

→ Or go directly to **\[mulearn.org]** and create your profile.

### <mark style="color:$primary;">"I have a task or Karma related question"</mark>

This depends on what specifically the question is.

**"I don't understand the task"**\
→ Ask in your IG's Discord channel. Your peers and IG Lead are the fastest answer.

**"My submission was rejected and I think it was unfair"**\
→ Raise it with your IG Lead first. They are the first escalation point for all PoW disputes within their domain.\
→ If unresolved, raise a support ticket via the website or Discord.

**"My Karma wasn't awarded after a validated submission"**\
→ Raise a support ticket via the website or Discord with your submission details.

### <mark style="color:$primary;">"I have a platform issue"</mark>

Something isn't working on the μLearn platform to login issues, profile errors, submission problems, Karma not updating.

→ Raise a support ticket via the **μLearn website** or **Discord**.\
→ Or email: **<info@mulearn.org>**


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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.mulearn.org/support-and-escalation/getting-help-in-mlearn.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.
