> For the complete documentation index, see [llms.txt](https://docs.empowergpt.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.empowergpt.ai/getting-started/features.md). # Features ### **Adaptive Intelligence** EmpowerGPT grows with you. Its capabilities evolve as your knowledge and expertise expand, ensuring that the guidance, content, and insights you receive remain relevant, accurate, and personalized. ### **Granular Permissions & Configurable Roles** Manage access with precision. EmpowerGPT allows administrators to assign roles and permissions at a detailed level, ensuring each user sees exactly what they need—no more, no less. This structure enhances security without limiting productivity. ### **Robust Data Management & Security** Built on a secure and scalable framework, EmpowerGPT protects your data while supporting seamless teamwork. Collaborative features, secure storage, and controlled data flows work together to maintain integrity and compliance across all operations.
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### AI Models EmpowerGPT leverages advanced AI models, including **Gemini 3 Pro** & **GPT-5**, to process and generate responses based on document content. Users can select their preferred AI model within the chat interface to tailor the response generation to their specific needs. {% hint style="info" %} The accuracy and correctness of the answers may vary depending on the selected model. {% endhint %} Following LLM(s) are available in EmpowerGPT: 1. OpenAI (GPT-5, 5.1, GPT-4o, GPT-4.1, o1, o4 mini) 2. Gemini-Flash 2.0, Gemini-Flash 2.5 Gemini 3 pro 3. Deepseek-V3 4. Llama 3.1 405B, Llama 3.2 90B 5. Command R+ 6. Mistral-Large --- # 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 following URL with the `ask` and `goal` query parameters: ``` GET https://docs.empowergpt.ai/getting-started/features.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `build a script that syncs our docs to a CMS` lets GitBook tailor the answer to that use case. 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.