Unveiling the AI Chatbot: Building Your Own with Kelly Mirabella!

Purpose

• Define the purpose of your chatbot, such as answering questions and assisting home buyers, home sellers, and those relocating.
• Ensure the purpose is clear and concise.

Profile

• Provide details about the company, such as the name, owners, specialty, and location.
• Include relevant contact information.
• Keep the profile focused and avoid including unnecessary information.

People

• Identify the target audience, such as home buyers, home sellers, and those relocating.
• Tailor the chatbot's responses to address the needs and concerns of this audience.

Persistency

• Provide examples and Q&A to help the AI understand how to respond consistently.
• Use persistency to address potential issues and ensure the chatbot provides helpful responses.

Perfection

• Test the chatbot thoroughly to ensure it functions as intended.
• Continuously refine the prompt and the chatbot's responses based on user feedback and performance.

By following these 5 Ps of prompt engineering, you can create an effective and helpful AI chatbot for your real estate business.

When building a chatbot, the knowledge base is a crucial component that determines the bot's effectiveness. It's important to focus on quality over quantity when creating the knowledge base. Here are some key points to consider:

1. Purpose-Driven Content: The knowledge base should be tailored to the specific purpose and use case of the chatbot. Avoid the temptation to include every possible piece of information, as this can overwhelm the bot and lead to irrelevant responses.

2. Concise and Focused: Keep the knowledge base entries concise and focused. Aim for 3-4 sentences at most to convey the necessary information. Avoid lengthy, detailed explanations that can confuse the user.

3. Contextual Relevance: Ensure that the knowledge base content is contextually relevant to the user's queries and the chatbot's intended use. This means including information that is directly related to the chatbot's purpose and the user's needs.

4. Leveraging External Data Sources: Rather than trying to create a comprehensive knowledge base from scratch, consider leveraging external data sources that the chatbot can access. This can include APIs, databases, or other online resources that provide up-to-date and authoritative information.

5. Continuous Improvement: Regularly review and update the knowledge base based on user feedback, common queries, and changes in the underlying information. This will help keep the chatbot's responses relevant and accurate over time.

6. Prompt Engineering: Invest time in crafting effective prompts that guide the chatbot's responses. Well-designed prompts can help the bot extract the most relevant information from the knowledge base and provide concise, helpful answers.

By focusing on quality over quantity, you can create a knowledge base that enhances the chatbot's performance, improves user satisfaction, and reduces the need for constant maintenance and updates.

To connect your chatbot to Facebook Messenger, you'll need to follow the Handover Protocol. Here are the steps:

1. Connect your Facebook Page: In your chatbot platform, go to the Integrations section and connect your Facebook page. This will allow your chatbot to access your Facebook page.

2. Configure the Handover Protocol: In your Facebook Page settings, go to the Messenger section and configure the Handover Protocol. This will allow your chatbot to receive and respond to messages from users.

3. Set up the Handover Protocol: In the Handover Protocol settings, you'll need to select your chatbot platform as the primary responder for your page. This means that your chatbot will be the first to receive and respond to messages.

4. Test the integration: Send a message to your Facebook page and verify that your chatbot is able to receive and respond to the message correctly.

5. Optimize the experience: Ensure that your chatbot's responses are helpful, friendly, and aligned with your brand. You may need to fine-tune your chatbot's prompts and responses based on user feedback.

Remember, the Handover Protocol is an important step in integrating your chatbot with Facebook Messenger. By following these steps, you can ensure a seamless and compliant integration that provides a great experience for your users.

Purpose

The purpose of this flow is to automate the process of responding to comments on the company's social media pages, specifically Facebook. The goal is to provide friendly, engaging, and helpful responses to users in a timely manner, while also collecting valuable lead information for future marketing efforts.

Profile

The company in question is Grape Expectations, a premier wine bar and tasting destination. The flow will be set up to handle comments on the Grape Expectations Facebook page.

People

The target audience for this flow are users who engage with the Grape Expectations Facebook page by commenting on posts. The flow aims to provide a positive experience for these users and collect their contact information for potential future marketing campaigns.

Persistency

The flow will include the following key elements:

1. Public Comment Response: An AI-powered response that will automatically reply to new comments on the company's Facebook posts. This response will be friendly, informative, and encourage the user to engage further.

2. Private Message Opt-In: If a user expresses interest in an upcoming wine tasting event, the flow will prompt them to provide their first name, last name, email address, and phone number to complete an RSVP. This information will be collected and stored in a Google Sheet.

3. Confirmation Message: After the user provides their information, they will receive a confirmation message thanking them for their RSVP and providing additional details about the event.

Perfection

The flow will be thoroughly tested to ensure that the AI responses are appropriate and that the data collection and storage processes are working as intended. The team will monitor the flow's performance and make adjustments as needed to optimize the user experience and lead generation.

By implementing this automated comment management flow, Grape Expectations can improve their social media engagement, provide a better customer experience, and generate valuable leads for future marketing efforts.

In this session, we covered a lot of ground when it comes to building effective chatbots using the 5 Ps of prompt engineering:

1. Purpose: Clearly defining the purpose and goals of your chatbot is crucial. This sets the foundation for everything else.

2. Profile: Providing detailed information about your business, products, and services in the chatbot's knowledge base ensures it can have meaningful conversations.

3. People: Understanding your target audience and their needs allows you to tailor the chatbot's responses accordingly.

4. Persistency: Including relevant examples and Q&As helps the chatbot stay on track and provide consistent, helpful responses.

5. Perfection: Thoroughly testing and iterating on your chatbot is key to ensuring it performs as expected.

We also explored techniques like prompt chaining, using open-ended prompts, and leveraging the built-in functions and integrations of the ChatbotBuilder.ai platform.

The live demo showcased how to build a comprehensive chatbot for a wine bar, including features like voice input/output, multilingual support, and automated event RSVPs.

The key takeaways are:

1. Start simple and master the foundations before adding complexity.
2. Leverage the power of open-ended prompts and AI-driven responses.
3. Integrate your chatbot with other tools and services to enhance its capabilities.
4. Continuously test and refine your chatbot to provide the best user experience.

By following these principles, you'll be well on your way to building highly effective and engaging chatbots that drive real business results. Keep practicing, experimenting, and don't be afraid to ask for help when you need it. The ChatbotBuilder.ai community is here to support you on your journey.