# Swan Cloud Documentation

Swan Cloud is an AI marketing platform for building, deploying, and managing AI-driven marketing solutions in secure, on-premise cloud environments.

## What We Offer

### AI Solutions

* Custom AI models and pipelines
* LLM fine-tuning
* Managed Compute Pipelines (MCP)
* Retrieval-Augmented Generation (RAG)
* Dataset preparation

### Cloud Deployment

* Containerized GPU inference
* Edge and on-premise infrastructure
* Private cloud support
* Full data control and compliance

### Web3 Ready

* Blockchain integration
* Community management tools
* Blockchain-based payments
* RPC services and DeFi solutions

## Core Products

* **Future Citizen**: AI agents for online promotions and social engagement ([Try Future Citizen](https://app.futurecitizen.ai/))
* **Xpress**: AI-powered X/Twitter reply assistant ([Try Xpress](https://xpress.futurecitizen.ai/))
* **Swan Provider**: Become a compute or storage provider and earn rewards
* **Swan IPFS Storage**: Decentralized file storage using IPFS

## Get Started

* [Introduction](https://github.com/filswan/swan-doc/blob/main/getting-started/introduction.md)
* [Quickstart](https://github.com/filswan/swan-doc/blob/main/getting-started/quickstart.md)
* [Platform Overview](https://github.com/filswan/swan-doc/blob/main/platform-overview/architecture.md)
* [Products](https://github.com/filswan/swan-doc/blob/main/products/future-citizen/overview.md)
* [Developer Guide](https://github.com/filswan/swan-doc/blob/main/developer/api-reference.md)


---

# 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.filswan.com/readme.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.