> For the complete documentation index, see [llms.txt](https://whitepaper.locc.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.locc.ai/how-locc-ai-works.md).
# How Locc AI Works
#### **Uploading Media**
Users begin by uploading an image or video that they wish to enhance or use as a base for new content creation. The application supports a wide range of media formats and sizes.
#### **Prompt-based Content Generation**
Once the media is uploaded, users provide a descriptive prompt that guides the AI in generating the desired output. The prompt can include specific details about the style, mood, or elements to be included in the final product.
#### **AI Processing Pipeline**
Locc AI's sophisticated AI pipeline processes the input media and prompt, leveraging the capabilities of Open AI, DALLE, Sora, and Stable Diffusion. The processing is done in real-time, ensuring that users receive their results within seconds.
#### **Output Customization and Finalization**
After the AI generates the content, users have the option to further customize the output. This includes adjusting filters, tweaking specific elements, and applying finishing touches before finalizing the media for download or sharing.
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# 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://whitepaper.locc.ai/how-locc-ai-works.md?ask=&goal=
```
`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.
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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.