> ## Documentation Index
> Fetch the complete documentation index at: https://docs.genow.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Prompt and Usage Guide

> Learn how to use the Genow platform the best way possible.

## What Is a Prompt?

A prompt is the instruction, question, or text you provide to an AI model to get a response. It's how you communicate with a Large Language Model (LLM).

<Note>
  The quality of your prompt directly impacts the quality of the answer you receive.
</Note>

**Think of it this way:**

* **Poor Prompt:** "Tell me about marketing."
* **Good Prompt:** "Summarize the three most important marketing strategies for a B2B software company in a bulleted list."

## How Prompts and LLMs Work Together

LLMs use your prompt as a starting point and guide. Based on the instructions you provide, the model predicts the most logical and relevant sequence of words to form an answer. A clear and detailed prompt helps the LLM understand the precise context and your expectations, leading to a much more accurate and useful output. [Read our guide about LLMs to find out more.](/product/resources/llm-basics)

***

## Find Out How to Use Genow and Prompt Optimally

Different features within Genow are designed for specific tasks. Understanding how to interact with each one will help you get the best results.

**Comparison between the Agent Hub and the Chat function and how this affects prompting.**

| **Characteristic** | **Agent Hub**                                                                                                                                                                                                                                                                                                                | **Chat**                                                                                                                 |
| ------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------ |
| Intended Use       | Extracting **precise answers from company internal knowledge** bases and executing domain-specific workflows.                                                                                                                                                                                                                | **General-purpose assistance** for writing, reasoning, and creative brainstorming.                                       |
| Benefits           | **Time-saving, highly accurate** knowledge retrieval across complex and large amounts of internal data.                                                                                                                                                                                                                      | **Versatile support** in daily work to save time, reason and explore new ideas.                                          |
| Data Resources     | Curated, **pre-configured corporate datasets** and managed web search. **Hallucination** of models is **prevented**.                                                                                                                                                                                                         | **Pre-trained model knowledge** and user-provided manual attachments. **Hallucinations** may occur **frequently.**       |
| Customizability    | **Great customization within Agents** through data integration, web search, contact persons, links, etc.                                                                                                                                                                                                                     | **Limited customization** only through information provided in the prompt.                                               |
| Transparency       | Direct **citations and links to source documents** and outline of the reasoning process.                                                                                                                                                                                                                                     | Responses are generated from internal knowledge **without source citations.**                                            |
| Prompting Style    | For a **new question** open a **new thread**.  **Separation** between **retrieval** and **task**:  1) **Define a precise question** stating what is sought-after and the context. The whole prompt is used for semantic search.  2) Based on the retrieval results, **define a clear task** describing the expected outcome. | Interactive, creative and versatile prompts that are **specific, provide context, give examples and define the output**. |

<Tabs>
  <Tab title="Use Case Hub">
    The Use Case Hub is optimized for finding answers and information within your company's dedicated knowledge base in a use case. Generally you can follow a guideline to use the Use Case Hub optimally:

    <Steps>
      <Step title="Internal Document Search">
        Select a use case and `perform a detailed search` based on the documents and knowledge assigned to the use case.
      </Step>

      <Step title="Perform Tasks based on the answers">
        Use the `agents and actions feature` to perfom task ("write an e-mail draft", "Convert the results into the following format: ...")
      </Step>
    </Steps>

    <Card icon="link" horizontal href="/product/user-guides/agent-hub">
      Learn more about the user interface and usage of the Agent Hub.
    </Card>

    **Best Practices:**

    * **Be Specific:** Ask detailed questions about the knowledge stored in the use case.
    * **Define The Output:** Tell the model how you want the answer formatted. Do you need a summary, a bulleted list, or a table?
    * **Provide Context:** Briefly mention the context of your question to get a more relevant answer.
    * **Start A New Thread For A New Topic:** Always start a new conversation for a new question. Using an existing thread can confuse the AI with a previous conversation's context, which may negatively affect your results.
  </Tab>

  <Tab title="Agent Hub">
    The Agent Hub is optimized for finding answers and information within your company's dedicated knowledge base in an Agent. Generally you can follow a guideline to use the Agent Hub optimally:

    <Steps>
      <Step title="Internal Document Search">
        Select an Agent and `perform a detailed search` based on the documents and knowledge assigned to the Agent.
      </Step>

      <Step title="Perform Tasks based on the answers">
        Use the `agents and actions feature` to perfom task ("write an e-mail draft", "Convert the results into the following format: ...")
      </Step>
    </Steps>

    <Card icon="link" horizontal href="/product/user-guides/agent-hub">
      Learn more about the user interface and usage of the Agent Hub.
    </Card>

    **Best Practices:**

    * **Be Specific:** Ask detailed questions about the knowledge stored in the Agent.
    * **Define The Output:** Tell the model how you want the answer formatted. Do you need a summary, a bulleted list, or a table?
    * **Provide Context:** Briefly mention the context of your question to get a more relevant answer.
    * **Start A New Thread For A New Topic:** Always start a new conversation for a new question. Using an existing thread can confuse the AI with a previous conversation's context, which may negatively affect your results.
  </Tab>

  <Tab title="Chat">
    The Chat feature gives you direct access to the creative and reasoning capabilities of an LLM.

    <Note>
      **The chat feature cannot be used to reference or utilise any internal company knowledge. Here, effective prompting is crucial.**
    </Note>

    <Card icon="link" horizontal href="/product/user-guides/chat">
      Learn more about the user interface and usage of the Chat.
    </Card>

    **Key Prompting Techniques:**

    * **Provide Context:** Give the AI background information.
      > *"I am preparing a presentation for a new client in the renewable energy sector."*
    * **Be Specific and Clear:** Avoid vague requests.
      > *"Write three potential taglines for a new solar panel brand called 'Sunstone'."*
    * **Assign a Role or Persona:** Tell the AI to act as an expert.
      > *"Act as an experienced marketing consultant and suggest..."*
    * **Define the Format:** Specify the structure of the desired output.
      > *"Provide the answer in a table with two columns: 'Tagline' and 'Main Benefit'."*
    * **Use Examples (Few-Shot Prompting):** Give an example of what you want.
      > *"Here is an example of a good tagline: 'Energize Your Future'. Now create three more with a similar inspirational tone."*
  </Tab>

  <Tab title="Translator">
    The Translator is a straightforward tool for translating text from one language to another.

    **How to use it:** No special prompting is needed here. Simply enter or paste the text you wish to translate, select the target language, and the tool will provide the translation.

    <Card icon="link" horizontal href="/product/user-guides/translator">
      Learn more about the user interface and usage of the Translator.
    </Card>
  </Tab>
</Tabs>
