# ASI \<CREATE/>

<figure><img src="/files/79EYorocXyOLptYPxFyE" alt=""><figcaption></figcaption></figure>

ASI: Create is a platform that connects AI developers with users to make deploying agents easy.\
\
For users, the platform bridges sophisticated AI capabilities with practical implementation. It offers a multi-modal natural language interface that aggregates a variety of agent types for machine learning, LLMs, and neural symbolic systems with domain specific knowledge (starting with crypto algo trading and drug discovery). In this way, users have one interface to access networks of agents that can be composed to execute tasks and workflows.&#x20;

For AI developers, the platform's architecture delivers three innovations: First, it provides access to stable and reasonably-priced decentralized AI compute. Task decomposition makes chaining tasks for agents easier. Advanced neural symbolic system reasoning systems use knowledge graphs to deliver better performance while paving the way for future Hyperon AGI interoperability. Second, this infrastructure catalyzes development with template code and use cases for common types of agents. Deployment is simplified with AI-centric CI/CD (continuous integration and deployment) workflows. Third, multi-agent protocols facilitate interoperability between agents and networks to provide registration and payment services for decentralized environments. Also, fiat on/off ramps will be available to support crowdfunding. This positions ASI at the forefront of accessible and open AI agent infrastructure.


---

# 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.superintelligence.io/artificial-superintelligence-alliance/asi-innovation-stack/asi-less-than-create-greater-than.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.