# Agents

## Overview

These pages will explore the Agents feature in HyperSkill, which add a powerful layer of interactivity to your VR/AR/Web/Desktop learning experiences.

**What can Agents do?**

Powered by advanced AI (GPT-4 & Gemini Pro), agents can act as intelligent observers within your simulations, providing learners with real-time feedback and guidance.

* **Analyze Learner Performance:** Agents can observe learner speech interactions within the simulation and provide personalized feedback based on their choices.
* **Deliver Dynamic Scores:** Agents can assess learner performance and assign scores based on author-defined criteria.
* **Modify Simulation Attributes:** Agents can dynamically change attributes of virtual objects in your simulation based on learner performance or choices. Imagine an agent ending a simulation early if a learner makes a critical mistake or an agent giving crucial immediate feedback for a learner performing poorly.

**Who has access to Agents?**

The availability of the Agents feature depends on your HyperSkill account tier. Refer to your plan details or contact HyperSkill support for more information.


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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.siminsights.com/ai/agents.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.
