[Audio]: What's up this is Connor how can I help? Do you have any questions about the video or anything else you'd like to know?

Auto GPT acts as the central brain of your chatbot, continuously learning and responding to user messages based on your input. It's the default mode of interaction for your chatbot.

On the other hand, default reply is a more specific response your chatbot gives when it doesn't know how to reply to a user message. It serves as a safety net for unexpected queries.

For your demo tomorrow, I suggest using Auto GPT. It's a straightforward approach that will provide a strong foundation for your chatbot. Just ensure you give clear instructions to your Auto GPT brain so it can effectively engage with users.

I'm here to support you with your demo. Best of luck!

Custom fields in chatbot Builder AI are similar to variables in other chatbot platforms. They allow you to store and retrieve information within your chatbot's conversations.

Some key points about custom fields:

• They act as containers to hold data, such as user names, email addresses, or results from AI responses.
• This dynamic data can then be used to personalize the chatbot's interactions and provide more contextual responses.
• Custom fields give your chatbot the flexibility to adapt to each user's unique needs and preferences.
• They are discussed in detail in the video at the 16 minute and 11 second mark.

Just like variables, custom fields enable you to create more sophisticated and intelligent chatbots that can truly engage with users in a meaningful way. Mastering their use is an important step in building powerful conversational AI experiences.

Hey there, I totally get where you're coming from - it's clear that you appreciate the potential of Chatbot Builder AI but acknowledge that there are areas that could be improved upon. Your rating of 9 out of 10 reflects your belief in its capabilities while recognizing the current limitations.

In terms of sharing your rating with Ryan, it's ultimately up to you. Your honest feedback will surely be valuable in the platform's development. It's all about being transparent and constructive. Good luck with your decision!

In this section, we explored the power of prompt chaining and how it can be used to create a sophisticated chatbot experience. We started by setting up a welcome message using Connor's cloned voice, then moved on to using OpenAI and 11 Labs to generate dynamic responses based on user input.

The key highlights of this section include:

1. Welcome Message: We created a simple yet effective welcome message that sets the tone for the chatbot interaction.

2. Prompt Chaining: By chaining multiple prompts together, we were able to handle complex user queries, providing relevant information and video timestamps as needed.

3. Conditional Responses: The chatbot was able to determine whether a video link was required in the response and provide it accordingly, or simply return a "zero" response if no video was needed.

4. Customization: We customized the chatbot's web interface to match the branding and style of the Connor character, creating a seamless and visually appealing experience.

5. Template Creation: The final step was to package all of these elements into a reusable template, making it easy for others to leverage this powerful chatbot framework.

Throughout the process, we emphasized the importance of clear instructions, prompt optimization, and leveraging the capabilities of tools like OpenAI and 11 Labs to create a truly impressive chatbot experience. This section serves as a blueprint for building engaging, dynamic, and intelligent chatbots that can enhance user interactions and provide valuable information.