# AI Agent Settings

### AI Agent Settings

Control and update the <mark style="color:green;">name, description, display name</mark> and more for your AI Agent.

This is the <mark style="color:green;">**most important area for your AI chatbot because it is where you will customize the AI agent**</mark> for each client/ business.

<figure><img src="https://467409987-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTZlockkXNmFTIPTHb5kk%2Fuploads%2FRSs75gYQpJtI1GF5f3XQ%2FKe%CC%81pernyo%CC%8Bfoto%CC%81%202025-01-16%20-%2019.40.07.png?alt=media&#x26;token=e95b590d-d122-4075-b9a1-dfcbf3c993bd" alt=""><figcaption><p>AI Agent Settings</p></figcaption></figure>

### Name

This is the <mark style="color:green;">internal name of the chatbot</mark> in your account. This name is not seen by users as long as a display name is added as well.

### Display Name

This is the <mark style="color:green;">name shown to users on the chat widget.</mark>

This <mark style="color:green;">user-visible name represents your chatbot</mark>. We advise including 'Al' for clarity. If this is not set, then Chatbot's name will be shown.

### Initial Messages

Enter the chatbot's initial message(s) to users, separated by a new line for multiple messages.

This <mark style="color:green;">message greets users upon their initial interaction with the chatbot.</mark> To add multiple messages, separate them by new lines.

### Initial Messages Popup Delay

Time in <mark style="color:green;">seconds for auto-showing initial message pop-up</mark>. Negative value disables it.

### Conversation Starters

<mark style="color:green;">Predefined clickable messages for user prompts.</mark> Separate multiple messages with new lines.

<mark style="color:green;">Example:</mark> "What type of documents can I upload to the Knowledge Base"

<figure><img src="https://467409987-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTZlockkXNmFTIPTHb5kk%2Fuploads%2F1Hiuz451SyhGf4v3yAjZ%2FKe%CC%81pernyo%CC%8Bfoto%CC%81%202025-01-16%20-%2019.43.53.png?alt=media&#x26;token=2ff162d2-4e50-44e9-b3e6-4aae7b530124" alt=""><figcaption><p>Coversation starter</p></figcaption></figure>

**Chat Widget Pop Up**

When enabled this <mark style="color:green;">will open the entire chat widget</mark> to the user on the webpage.

### Advanced Settings for AI Agent

The <mark style="color:green;">Advanced settings are found</mark> in the "Update" section of each AI chatbot.

Here are all the items you can edit inside of the advanced settings. <mark style="color:green;">By default we add all of the most optimal settings to every chatbot when created.</mark> If you want to customize the bot even further, this is a good place to start.

<figure><img src="https://467409987-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTZlockkXNmFTIPTHb5kk%2Fuploads%2FATVL6hEMQ159SuCClfPD%2FKe%CC%81pernyo%CC%8Bfoto%CC%81%202025-01-16%20-%2019.52.01.png?alt=media&#x26;token=717f628d-6354-46ba-9cc5-c61644804187" alt=""><figcaption><p>Advance settings</p></figcaption></figure>

{% hint style="info" %}
Use this setting cautiously, and ensure that only individuals experienced in AI handle it, as utilizing these functions significantly impacts the AI’s ability to generate responses effectively.
{% endhint %}

### Model Version

Select the <mark style="color:green;">AI LLM model</mark> you wish to use for your AI chatbots.

<figure><img src="https://467409987-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTZlockkXNmFTIPTHb5kk%2Fuploads%2FDtPHyx8dsgKhMPc726Cc%2FKe%CC%81pernyo%CC%8Bfoto%CC%81%202025-01-16%20-%2019.54.17.png?alt=media&#x26;token=fb77bb75-84c1-4641-87f3-3426697eff76" alt=""><figcaption><p>AI Models</p></figcaption></figure>

<mark style="color:green;">**What is a Model?**</mark>

The word 'model' refers to the <mark style="color:green;">different AI software being used to power your AI Agents.</mark>

<mark style="color:green;">**What's the Difference?**</mark>

<mark style="color:green;">Each model comes with its own unique cost and abilities.</mark> The most powerful AI model is GPT-4o and the most affordable AI model is GPT-3.5.

This is where you can select between the current available models from OpenAI.

{% hint style="info" %}
If you cannot find the appropriate AI model, it is likely not included in your current subscription plan, making it unavailable for use.
{% endhint %}

#### <mark style="color:green;">Pros of GPT-3.5, GPT-4U, and GPT-4 Turbo for Business Use Cases</mark>

Given that these AI agents are designed to <mark style="color:green;">assist companies in customer support and sales</mark>, the advantages of each model can be evaluated based on these business-specific needs.

<mark style="color:green;">**GPT-3.5**</mark>

* 1 response = $0.01 /message
* <mark style="color:green;">Cost-Effective for High Volume:</mark> Ideal for handling large numbers of customer queries efficiently, making it suitable for businesses with high traffic and cost-sensitive budgets.
* <mark style="color:green;">Quick Responses:</mark> Provides fast answers for straightforward FAQs or repetitive customer queries.
* <mark style="color:green;">Basic Task Handling:</mark> Can efficiently manage tasks like providing product details, checking order statuses, or answering simple policy-related questions.
* <mark style="color:green;">Low Implementation Complexity:</mark> Easy to set up and sufficient for businesses that don’t require advanced or nuanced interactions.

<mark style="color:green;">**GPT-4o**</mark>

The <mark style="color:green;">most powerful model to use for advanced uses</mark> cases and function calling.

* 1 response = $0.04 /message
* <mark style="color:green;">Best used for all use cases</mark>
* <mark style="color:green;">Multimodal Capabilities:</mark> Can process and respond to both text and image inputs, which is invaluable for e-commerce or technical support.
* <mark style="color:green;">Enhanced Creativity:</mark> Excellent for crafting engaging sales pitches, personalized messages, or marketing copy to attract customers.
* <mark style="color:green;">Complex Problem-Solving:</mark> Handles nuanced queries and provides detailed explanations, improving customer satisfaction.

<mark style="color:green;">**GPT-4 Turbo**</mark>

* 1 response = $0.08 /message
* <mark style="color:green;">Enterprise-Level Scalability:</mark> Designed for businesses managing large-scale operations with high customer interaction volumes while maintaining speed and accuracy.
* <mark style="color:green;">Extended Context Understanding:</mark> Can process larger customer histories or complex sales inquiries without losing track of the conversation, leading to more personalized interactions.
* <mark style="color:green;">High Precision:</mark> Reduces errors in responses, critical for handling sensitive topics like billing issues, legal policies, or complex sales agreements.
* <mark style="color:green;">Sales Optimization:</mark> Great for generating tailored upselling or cross-selling opportunities based on detailed product data or customer preferences.
* <mark style="color:green;">Cost Efficiency for Advanced Tasks:</mark> While pricier than GPT-3.5, it offers a balance of cost and performance for businesses that need advanced capabilities at scale.

### Prioritize Question/Answer Results

When enabled this feature will <mark style="color:green;">prioritize the data found in the question and answer section</mark> of the knowledge base.

The <mark style="color:green;">chatbot's responses by placing a higher emphasis on delivering precise answers</mark> to user questions.

Prioritize <mark style="color:green;">question/answer results over others when querying the chatbot.</mark>&#x20;

<figure><img src="https://467409987-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTZlockkXNmFTIPTHb5kk%2Fuploads%2F0zzrvRqVBN7O2FnG5U4y%2FKe%CC%81pernyo%CC%8Bfoto%CC%81%202025-01-16%20-%2020.07.32.png?alt=media&#x26;token=370fbdc5-fbee-4f42-a543-92df4aad357c" alt=""><figcaption><p>Prioritize Questions</p></figcaption></figure>

{% hint style="info" %}
Currently in experimental phase.
{% endhint %}

### Temperature

Temperature parameter for the GPT Chatbot API.

<mark style="color:green;">Temperature parameter for the GPT Chatbot Completion API. determines the randomness of the response.</mark>

A low value (close to 0) makes the output more deterministic and conservative, while a higher value (up to 2) makes the output more diverse and creative.

For most businesses setting the temperature to 0.05 to 0.20 will be a good place to start testing.

<mark style="color:green;">**Feature Description:**</mark> Temperature Setting for the Chat Box

The <mark style="color:green;">temperature setting in the chat box controls the randomness and creativity of the AI model’s responses.</mark> Recently, the numeric input for this setting was replaced with a slider, making it easier to adjust.

<figure><img src="https://467409987-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTZlockkXNmFTIPTHb5kk%2Fuploads%2FT5s98MNyLoRI11oAIU6D%2FKe%CC%81pernyo%CC%8Bfoto%CC%81%202025-01-16%20-%2020.09.44.png?alt=media&#x26;token=bc87276c-9a5f-41ce-9f55-a9b5b69d3cc7" alt=""><figcaption></figcaption></figure>

**What Does the Temperature Setting Do?**

<mark style="color:green;">Lower Temperature (Closer to 0):</mark>

* Makes the model’s responses predictable and consistent.
* Best suited for business use cases where reliability and accuracy are essential.

<mark style="color:green;">Higher Temperature (Closer to 1 or 2):</mark>

* Makes the responses more varied, creative, and less predictable.
* Suitable for scenarios where a bit of creativity is beneficial, but higher values (like 1 or 2) are rarely practical for most applications.

<mark style="color:green;">**Range of the Setting**</mark>

* The temperature slider technically supports a range between 0 and 2.
* While OpenAI documentation references both 0–1 and 0–2 ranges, setting the value to 2 is uncommon and generally not recommended for most business cases.

<mark style="color:green;">**Recommended Usage**</mark>

1. **Start at 0 (Default Setting):**

* For most business-related use cases, start with a temperature of 0 for consistent and predictable results.

2. **Gradual Adjustments:**

* Once the chatbot behaves as expected, experiment by incrementally increasing the temperature (e.g., 0.2) to introduce a small degree of creativity if needed.
* Adjust settings one at a time (either the prompt or the temperature) to evaluate their impact effectively.

3. **Avoid Extreme Values:**

* Values close to 1 or 2 typically lead to overly random and unpredictable outputs, which are rarely suitable for professional applications.

#### <mark style="color:green;">Feedback and Edge Cases</mark>

If you find a use case where setting the temperature higher (e.g., 1 or 2) delivers value, we encourage you to share your experience. Understanding unique scenarios helps improve the platform and refine recommendations.

<mark style="color:green;">Conclusion</mark>

* For business use cases, a lower temperature (default: 0) is recommended for predictability.
* For tasks requiring slight creativity, consider small increases (e.g., 0.2).
* Avoid extreme settings unless you have a specific use case that demands it.

The <mark style="color:green;">temperature setting is a powerful way to balance consistency and creativity, ensuring the chatbot aligns with your specific needs.</mark>

### Message Template

This is an <mark style="color:green;">advanced feature for changing how the AI agent fundamentally works.</mark>

{% hint style="info" %}
**Warning: Modify this only if you understand what you are doing.**
{% endhint %}

Modify the template used whenever a message is sent to ChatGPT.

<figure><img src="https://467409987-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTZlockkXNmFTIPTHb5kk%2Fuploads%2FGMb9FfkZtzcVpSOuXeHq%2FKe%CC%81pernyo%CC%8Bfoto%CC%81%202025-01-16%20-%2020.13.11.png?alt=media&#x26;token=18868806-c169-467b-86da-99965ff45427" alt=""><figcaption></figcaption></figure>

The <mark style="color:green;">message template is displaying how the AI chatbot will process data from the knowledge base and add it to your base system prompt.</mark>

If you are looking to create an alternative AI agent that can do different things like classify text, write emails, or any other use case you could imagine.

### Support Email

<mark style="color:green;">Use this email to replace the agency's default support email</mark> for this chatbot, if one exists.

Enter your support email for this chatbot. This will be displayed to users in case of errors or other issues.

### Domains

<mark style="color:green;">Enter the domains on which your Chatbot will work.</mark> Separate multiple domains with commas.

<mark style="color:green;">This feature is closely related to Visibility.</mark>

If a website visibility is set to public, then this section does not apply.

If embedding the chatbot on a website, enter the exact domain URL in this format: '<https://yourdomain.com>'

### Show Data Sources in Chat Widget

<mark style="color:green;">Enable to show the data sources of the chatbot's response in the chat widget.</mark>

When an <mark style="color:green;">AI agent responds and is shown to a user, a little dropdown menu toggle will show up underneath the message response showing the links</mark> to where the AI agent found the answers.

This is <mark style="color:green;">only available for public websites scraped</mark> with the AI agent scraper.

### Debug Mode

This is <mark style="color:green;">helpful to enable when testing a new AI agent to see what data is being sent to OpenAI.</mark>

<mark style="color:green;">Enable Debug mode to display both the search results</mark> generated by the query and the data exchanged with the ChatGPT API for troubleshooting or analysis purposes.

&#x20;
