# AI Control and Point Distribution

AI in TimeSoul rewards not just actions, but mindful growth. A unique algorithm evaluates user engagement depth and the quality of effort, transforming learning into a meaningful journey with real value.

<br>

**Financial Rewards for Mindful Progress**

* **How it works:** At the core of TimeSoul is a unique AI algorithm that analyzes not just task completion, but also the level of awareness, effort, and the quality of the result. The algorithm assesses how well the user has mastered the material, made conclusions, and applied knowledge.
* **Why it’s important:** Most platforms reward routine actions - clicks, answers, or simply progressing through stages. TimeSoul breaks this model by making progress truly meaningful. Users start to feel that their efforts have real value because the reward reflects not the number of actions, but their significance.
* **Result**: Users are not just learning; they become active participants in their personal transformation, viewing TimeSoul as a tool for real growth.

**AI Control and Task Monitoring**

* **How it works**: AI in TimeSoul tracks the learning process in real-time. It records not just task completion, but also engagement levels, adjusting tasks based on the user's knowledge and motivation. If engagement drops, the AI adjusts the difficulty or suggests motivational scenarios.
* **Why it’s important**: Traditional educational platforms rarely focus on the quality of task execution or reasons for disengagement. Our AI acts as a smart mentor, ensuring users don’t “drop off” by tailoring the learning process for maximum effectiveness and enjoyment.
* **Result:** AI monitoring makes learning productive, engaging, and effective, supporting long-term involvement.

<figure><img src="/files/CR1ewRSqiF5PvSRDvMck" alt=""><figcaption></figcaption></figure>

With TimeSoul, learning becomes a mindful journey where every reward reflects the real value of user progress, eliminating fraud and ensuring genuine growth.


---

# 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://timesoul.gitbook.io/timesoul-litepaper-1/ai/ai-control-and-point-distribution.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.
