When you enable Auto GPT in your chatbot builder AI settings, it acts as a powerful default message that pulls directly from your master prompt and knowledge base. This feature is like having a trusty sidekick that knows exactly what to say, making it a straightforward and effective way to set up your chatbot's default message.

With Auto GPT, you can leverage the capabilities of GPT-powered functions and assistance, allowing your chatbot to provide dynamic and helpful responses. This feature is particularly useful for users who want to get their chatbot up and running quickly, without the need for extensive customization.

However, if you require more flexibility and precision in your default messages, such as conditional responses or prompt chaining, you can choose to turn off Auto GPT and create a custom default message. This approach gives you full control over the content and behavior of your chatbot's initial interactions, allowing you to tailor the experience to your specific needs.

When building a custom default message, be sure to assign the knowledge-based prompt to the OpenAI action within your flow, as it will no longer be pulling from the master prompt in the OpenAI settings. Additionally, remember to add any custom functions you've created to the main OpenAI prompt in your custom default message.

Whether you opt for the simplicity of Auto GPT or the customization of a bespoke default message, the chatbot builder AI has you covered. Explore the options and find the approach that best suits your chatbot's requirements, and don't forget to share your creations with the community!

When you want more flexibility and precision in your chatbot's default message, turning off the auto-GPT and creating a custom default message is the way to go. This allows you to tailor the performance of your default messages, making them perfectly scripted to suit your specific needs.

By using the template provided in the "Flows" tab, you can edit and add any desired elements to your custom default message flow. Alternatively, you can create your own flow from scratch, giving you complete control over the content and functionality.

To assign your custom default message, navigate to the "Settings" under "General" and select the flow you've built as the default message. This ensures that your tailored message is used instead of the auto-GPT response.

Remember, if you're building your own default message, you'll need to assign the knowledge-base prompt to the OpenAI action within your flow. Additionally, make sure to add any custom functions you've created to the main OpenAI prompt in your custom default message.

While the auto-GPT is a straightforward and effective option for most users, exploring the world of custom default messages can unlock a new level of creativity and precision in your chatbot's interactions.

When you want more flexibility and precision in your chatbot's default messages, turning off the auto-GPT feature and creating custom default messages is the way to go. This allows you to tailor the messages based on specific criteria, such as the user's entry point (e.g., web chat vs. social media).

To create a custom default message, you can use the template provided in the "Flows" tab and edit it to suit your needs. Alternatively, you can build your own custom flow from scratch. Once you have your desired default message flow, you'll need to assign it in the "General" settings under the default message option.

When building your own default message, it's crucial to ensure that you assign the knowledge-base prompt to the OpenAI action within your flow, as it will no longer be pulling from the master prompt in the OpenAI settings. Additionally, you'll need to add any custom functions you've created to the main OpenAI prompt in your custom-designed default message.

While the auto-GPT feature is a straightforward and effective option for most users, creating a custom default message allows you to have more control over the messaging and tailor it to specific scenarios, making it a powerful tool for enhancing your chatbot's performance and user experience.

When building your own custom default message, it's crucial to ensure that you assign the knowledge-based prompt to the OpenAI action within your flow. This is necessary because the custom default message is no longer pulling from the master prompt in the OpenAI settings.

Additionally, you'll need to be sure to add any functions you've created to the main OpenAI prompt in your custom-designed default message. This will ensure that your functions are available and can be utilized within your default message.

By following these steps, you'll be able to create a tailored default message that perfectly fits your chatbot's needs, while still leveraging the power of the OpenAI knowledge base and any custom functions you've developed.

When it comes to setting up the default message in your chatbot, you have two main options: using Auto GPT or creating a custom default message. The choice between these two approaches depends on your specific needs and requirements.

Auto GPT is a straightforward and effective option that allows you to leverage the power of OpenAI's language model directly from your chatbot's settings. By turning on Auto GPT and configuring your master prompt and knowledge base, you can create a default message that acts as a "trusty sidekick" - it knows exactly what to say and can work with functions and assistance to provide a seamless user experience.

On the other hand, if you require more flexibility and precision in your default message, such as the ability to send different messages based on the user's entry point (e.g., web chat vs. social media), or if you want to incorporate more complex logic like conditional prompts or prompt chaining, then creating a custom default message might be the better choice. This approach allows you to build a tailored flow that perfectly aligns with your chatbot's needs.

When creating a custom default message, you can either use the pre-built template in your chatbot's "Flows" tab and edit it to your liking, or you can build your own custom flow from scratch. Remember to assign the knowledge-based prompt to the OpenAI action within your custom flow, and to add any necessary functions to the main OpenAI prompt.

Ultimately, the decision between Auto GPT and a custom default message comes down to your specific requirements and the level of control you need over your chatbot's default behavior. For most users, Auto GPT is a great starting point, but don't hesitate to explore the custom default message option if you need more advanced functionality.

In summary, the key differences between a default message and auto-GPT in a chatbot builder AI are:

• Auto-GPT acts as a default message, pulling information directly from the main prompt and knowledge base in the OpenAI settings. It's a straightforward and effective way to set up a default message.

• Custom-built default messages offer more flexibility and precision. You can create your own flow, tailor the message based on user entry point, and have more control over the default message behavior.

• When using a custom default message, you need to ensure the knowledge-based prompt is assigned to the OpenAI action, and any functions are added to the main OpenAI prompt.

• For most users, auto-GPT is a great starting point, as it's simple and effective. But custom default messages allow for more advanced chatbot functionality if needed.

The choice between auto-GPT and a custom default message ultimately depends on your specific chatbot requirements and the level of control you need over the default message behavior.