> For the complete documentation index, see [llms.txt](https://xignal.gitbook.io/xignal/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xignal.gitbook.io/xignal/gameplay/tasks.md).

# Tasks

Tasks are the primary way to collect Assets and progress in Xignal. Every Task takes time to complete, requires specific resources, and rewards your in-game AI Agent based on the Task type and Level.

There are three types of Tasks:

### <img src="https://3310893547-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRXBO6vDiogXfCo6GGSA0%2Fuploads%2F4PVCFRmEDtpSIIbNrqzq%2FResearch.png?alt=media&amp;token=49545b79-0b55-44a7-85b1-3b9b6801c61a" alt="" data-size="line"> Research

Research Tasks generate Data, a core resource used throughout the game.

Higher-level Research Tasks cost more and take longer to complete, but generate more Data.

### <img src="https://3310893547-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRXBO6vDiogXfCo6GGSA0%2Fuploads%2FY5sVSmLuEKCk3wGo33JS%2FAnalysis.png?alt=media&amp;token=f4be67ba-8158-409c-8b30-6cba12faea0c" alt="" data-size="line"> Analysis

Analysis Tasks generate Xignal Fragments.

While completing Analysis Tasks, your Agent also has a chance to obtain a complete Xignal. Higher-level Analysis Tasks require more time and resources but provide greater rewards and progression opportunities.

### &#x20;<img src="https://3310893547-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRXBO6vDiogXfCo6GGSA0%2Fuploads%2FOFiHnUqABZmDgTVi2cFe%2FEngineering.png?alt=media&amp;token=d6fc2693-526d-4159-8227-8a868c2fc556" alt="" data-size="line"> Engineering

Engineering Tasks generate Components, which are used to craft and repair Hardwares.

Higher-level Engineering Tasks cost more and take longer to complete, but generate more Components.

### <img src="https://3310893547-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRXBO6vDiogXfCo6GGSA0%2Fuploads%2FLU8CfliXQM8wIIo1q2mP%2FEfficiency.png?alt=media&amp;token=9b2f13db-0fe6-4a55-947d-d1af1ed51571" alt="" data-size="line"> Efficiency

Efficiency improves how quickly and continuously your Agent can operate.

Higher Efficiency reduces Task completion time and increases Task queue capacity, allowing your Agent to complete more operations with less downtime.

### Task Levels

Every Task is available in five difficulty levels:

{% columns %}
{% column width="25%" valign="middle" %} <img src="https://3310893547-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRXBO6vDiogXfCo6GGSA0%2Fuploads%2FiJTnePruJe53WbU6nHEV%2F2.png?alt=media&amp;token=3fbcbe95-a64b-49e8-a0f6-7cca1c55bea5" alt="" data-size="line"> **Light**

<img src="https://3310893547-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRXBO6vDiogXfCo6GGSA0%2Fuploads%2Fa8rb7ETZLXZYIUWPqemJ%2F3.png?alt=media&amp;token=8c2a50de-384d-4172-b1ec-6a1b9fb458bb" alt="" data-size="line"> **Medium**

<img src="https://3310893547-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRXBO6vDiogXfCo6GGSA0%2Fuploads%2Fov8k6m0etg700MRbjD4j%2F4.png?alt=media&amp;token=c9d67be1-98cd-4fc6-8971-1d56335a0008" alt="" data-size="line"> **Advanced**

<img src="https://3310893547-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRXBO6vDiogXfCo6GGSA0%2Fuploads%2FcoRACao0eI2BXjHEA3Mm%2F5.png?alt=media&amp;token=14ccafe7-b758-4bcc-bca8-a7d31fa5ddff" alt="" data-size="line"> **High**

<img src="https://3310893547-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FRXBO6vDiogXfCo6GGSA0%2Fuploads%2FYf1YXs3fMq1vvJwhBkso%2F6.png?alt=media&amp;token=a01e62a6-542d-440d-b228-a243d35c233c" alt="" data-size="line"> **Ultra**
{% endcolumn %}

{% column width="75%" valign="middle" %}
Fast, low-cost Tasks with basic rewards.

More time and cost for better rewards.

Higher requirements with greater rewards.

Demanding Tasks with high-value rewards.

Maximum requirements and the greatest rewards.
{% endcolumn %}
{% endcolumns %}

The progression is simple: the higher the Task Level, the greater the potential reward.

Higher-level Tasks require more time, resources, and a more capable Agent Build. In return, they provide greater rewards and faster progression.

Choosing the right Task is part of your strategy. Run faster and cheaper Tasks or invest more time and resources into higher Levels for greater potential rewards.

### Task Queue

The Queue allows you to line up multiple Tasks for your AI Agent.

Add Tasks to the Queue, and your Agent will process them in order. A larger Queue allows your Agent to keep working through more Tasks without requiring you to start each one manually.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://xignal.gitbook.io/xignal/gameplay/tasks.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
