> For the complete documentation index, see [llms.txt](https://docs.flashback.tech/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flashback.tech/guides/explore-use-cases.md).

# Explore Use Cases

This section helps you move from “platform setup” to real product scenarios.

The use cases are organized by resource family so teams can quickly find patterns that match their architecture:

* **Cloud Storage** use cases: multi-cloud object data flows, migration patterns, DR, and latency-aware routing.
* **AI LLM** use cases: prompt routing, fallback, governance, and production-ready app integration patterns.

## What you will find in this section

* [**Cloud Storage**](/guides/explore-use-cases/explore-use-cases.md): practical deployment blueprints for S3/GCS/Azure-compatible operations through Flashgate.
* [**AI LLM**](/guides/explore-use-cases/ai-llm.md): practical deployment blueprints for OpenAI-compatible AI workloads through Flashgate.

## How to use these guides

1. Start from the problem statement to identify the closest architecture pattern.
2. Follow prerequisites and copy the provided snippets as a baseline.
3. Adapt policies, keys, and endpoints to your organization/repository.
4. Validate in staging before rolling out to production.


---

# 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:

```
GET https://docs.flashback.tech/guides/explore-use-cases.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.