# Delegation of Trust

Aside from improving their performance scores, Agent Nodes can increase their odds of being selected as Proposers by maximising their Staking Pools. The decentralised data processing protocol lends a helping hand by allowing token holders to delegate their TIX to an Agent Node’s Staking Pool in exchange for a proportional share of the revenue.

This approach creates a positive network effect between Agent Nodes and token holders, in a win-win situation. Agent Nodes can attract delegators by boasting state-of-the-art AI models and high performance scores. At the same time, token holders can increase their base staking rewards with an additional source of revenue.

As Agent Nodes become increasingly popular, saturation of rewards ensues, and a choice must be made on either side. On the one hand, providers can create additional Staking Pools by spinning up more Agent Nodes. On the other hand, token holders can choose to delegate to a different Agent Node with high performance and higher gains.

This approach not only incentivises Agent Nodes to perform at the highest level, but also encourages them to communicate more with the audience in an effort to educate them about the inner workings of their AI models. At the same time, token holders are incentivised into learning more about AI & ML, as well as to get involved and voluntarily participate in [citizen science](https://en.wikipedia.org/wiki/Citizen_science).


---

# 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.timeworx.io/ai-that-is-trusted/delegation-of-trust.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.