> For the complete documentation index, see [llms.txt](https://digard.gitbook.io/digard-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://digard.gitbook.io/digard-whitepaper/core-components/decentralized-infrai.md).

# Decentralized InfrAI

**DIGARD** introduces Decentralized InfrAI, merging blockchain technology with artificial intelligence. But what is InfrAI? This term represents an ecosystem that combines decentralized infrastructure with intelligent and self-learning AI agents. With **DIGARD**, our goal is not just to simplify blockchain but to make it more accessible, smarter, and more user friendly. Enabled by today’s advanced technologies, this approach takes the synergy between AI and decentralized systems to a whole new level.&#x20;

**Prototypes and Continuous Development** Our vision for InfrAI started in 2022 with the development of prototypes and experimental AI agents. For instance, we developed a voice-command-driven NPC (non-playable character) prototype capable of responding conversationally. This prototype marks the first step toward revolutionizing gaming and user experiences. Additionally, our Anomaly Detection Bot is another prototype that analyzes databases within projects and games, identifying anomalies and taking action when necessary. These agents are still in development and not yet finalized products, but they provide a powerful glimpse into what the future holds.&#x20;

**The Power of InfrAI: Learning and Connected Systems**&#x20;

**DIGARD's** AI agents are not limited to static tasks; they are designed to continuously improve through self-learning capabilities enabled by technologies like Large Language Models (LLMs). These agents will guide users, provide real-time support to developers, and enable the creation of bounties on the platform. The next step in this ecosystem is the AI Agent Creator, which will allow projects to build their own customized agents. These agents will not work in isolation but will interconnect, creating a swarm intelligence that enhances the ecosystem’s efficiency and scalability.&#x20;

**The Future of Technology: A New Era with DIGARD With InfrAI**

**DIGARD** brings a fresh vision to the blockchain world. The combination of artificial intelligence and decentralized infrastructure simplifies complex processes while offering innovative opportunities for both users and developers. Our prototypes and future plans highlight how **DIGARD** will redefine the blockchain space by integrating AI to deliver smarter and more accessible solutions. This journey begins with a commitment to pushing the boundaries of technology and creating an intelligent ecosystem that benefits everyone.


---

# 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://digard.gitbook.io/digard-whitepaper/core-components/decentralized-infrai.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.
