In the chat, you can use the basic functionalities of language models (you may have already used language models such as ChatGPT). However, no company knowledge is referenced when you enter questions or input. Your input is anonymous and is not used for training AI models. We are GDPR (DSGVO) compliant!
Understanding the Interface
Let’s start with a quick look at the main screen.
- AI Model & Language Selection (Top Left): This is where you can choose the underlying AI “brain” and set the language for the interface itself.
- Chat History (Left Menu Bar): Find all your previous conversations saved here for easy access.
- Input Field (Bottom): This is where you’ll type your questions and instructions for the AI.
Selecting Your AI Model and Language
In the top-left corner of your screen, you have two settings:-
AI Model: By default, your assistant uses Google’s powerful Gemini models. An AI model is the engine that powers the chat. The choice of model can influence the quality, speed, and length of the responses you receive. For example, a more advanced model might provide more creative and in-depth answers, while another model might be faster for quick, factual questions. You can switch between the available Gemini models to see which one best suits your current task.
Good to know: Our platform is “LLM Agnostic.” This means we can connect to various Large Language Models. If your team has a specific need or would like to use a different model, please get in touch with your administrator.
- Interface Language: You can also select your preferred language for the user interface menus and buttons from this dropdown.
The Input Field: Asking Your First Questions
The input field at the bottom of the page is the heart of the assistant. This is where you communicate with the AI. Getting great results is all about asking in the right way. This is often called “prompting.”What Can I Use the AI Assistant For?
The possibilities are vast, but here are some common business use cases to get you started:- Summarize Information: Copy and paste a long report, article, or email thread and ask, “Summarize the key points of this text in three bullet points.”
- Explain Complex Topics: If you encounter a new concept, you can ask for a simple explanation. For example: “What are Large Language Models (LLMs)?”
- Answer Specific Questions: Ask direct questions to get factual information. For example: “What are the basic principles of project management?”
- Brainstorming: Generate ideas for marketing slogans, presentation outlines, or project names.
- Drafting Content: Get help writing emails, reports, or social media posts. You can specify the tone, audience, and key information to include.
Tips for Effective Prompting
How you frame your question (the “prompt”) directly impacts the quality of the answer. You don’t need to be a technical expert to write good prompts. Here are a few simple tips:-
Be Clear and Specific. The more detail you provide, the better the result.
Instead of: “Tell me about our software.” Try: “Create a short description of our CRM software for a new sales employee. Mention the top three features.”
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Provide Context. Tell the AI what role to play or who the intended audience is. This helps it adopt the right tone and perspective.
Example: “Act as a marketing manager. Write a friendly and exciting tweet about our upcoming webinar on Tuesday.”
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Refine and Iterate. Your first attempt doesn’t have to be the last. If the answer isn’t quite right, you can ask the AI to modify it.
Follow-up prompts: “Make that answer more formal,” “Can you expand on the second point?” or “Translate that response into German.”