# The Joint Potential of Blockchain, IOT and AI

Unlike many other blockchain technologies, our stack is constantly simulating the economy, triggering spatial, timed and flow events. Not only is it bot-friendly, but automation is encouraged. Ideal for research, persistent games, automated market makers (AMMs), etc. The end goal is to optimize for a continuous, interactive and provably fair economics simulation.

<br>

Inside simulated environments, EnviDa provides not only extensibility to AI driven NFTs but also the necessary resources to automate processes and make better, well educated decisions. <br>

Blockchain is a shared, immutable ledger that provides an immediate, shared, and transparent exchange of encrypted data simultaneously to multiple parties as they initiate and complete transactions. A blockchain network can track orders, payments, accounts, production, and much more. Because permissioned members share a single view of the truth, they gain confidence and trust in their transactions with other businesses, as well as new efficiencies and opportunities.

&#x20;

Artificial intelligence leverages computers, data and sometimes machines to mimic the problem-solving and decision-making capabilities of the human mind. It also encompasses the sub-fields of machine learning and deep learning, which use AI algorithms trained on data to make predictions or classifications and get smarter over time. The benefits of AI include automation of repetitive tasks, improved decision making and a better customer experience.

<br>


---

# 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://envida-protocol.gitbook.io/envida/about-envida-blockchain/the-joint-potential-of-blockchain-iot-and-ai.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.