# LLM (Large Language Model) LLM can improve your prompts, comment your artwork, and help you on a wide range of tasks. They can also greatly help automating things that use to require humans. ## Example CushyStudio allow you to build LLMs into your apps. you can take a look at the `library/sdk-examples/example-llm.ts` app that allow you to transform a few words prompt into a fully fledge ![](https://cushy.fra1.cdn.digitaloceanspaces.com/old/screenshots/2023-12-03-llm-example.jpg) ## Current features * built-in prompt-master system prompt to quickly try LLMs * ability to define custom agents / customize every system prompts * open-router based * \=> you have access to all the models chatgpt4, claude 2, various unfiltered llama flavors, etc. ## Planned * ⏳ Local LLMs * ⏳ Other cloud providers like OpenAI --- # 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.cushystudio.com/getting-started/features/llm.md?ask= ``` 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.