Building AI Sales Agents with Flask, OpenAI, ElevenLabs | Full 30-Minute AI Tutorial

Introduction

Welcome back to the channel! In this article, we continue our journey in developing an AI startup by building an AI sales agent. This project revolves around replicating the capabilities of a cleaning service sales agent using OpenAI's API and ElevenLabs for text-to-speech functionalities. We’ll be creating a functional prototype that can interact with potential customers and answer their queries.

Overview of the Project

We are focused on creating an AI agent capable of handling customer inquiries about cleaning services. The end goal is to allow customers to engage with our AI assistant seamlessly, facilitating bookings and providing information on services available.

Step-by-Step Process

1. Data Collection: For this project, we gathered data from an existing cleaning service online. We collected information such as service descriptions and pricing details. This data serves as the foundation for creating our response prompts.

2. Creating the AI Response Prompt: Using the data collected, we structured a prompt to guide the AI's responses. This prompt will provide context, ensuring the AI can effectively interact with users. We designed it to maintain a conversational tone and provide potential discounts to users showing hesitation.

3. Setting Up the Back-End: For the back-end of our application, we will be using Flask along with OpenAI’s API to facilitate natural language processing. A critical part of this process is maintaining the state of the conversation to give the AI context throughout the interaction.

4. Transcribing Customer Audio: Our AI agent needs to comprehend voice inputs, so we implemented voice recognition using OpenAI’s Whisper model. This allows the AI to transcribe voice messages from users into text, making it easier to respond accurately.

5. Integrating ElevenLabs for Speech Generation: To make our AI agent more interactive, we’ll set up ElevenLabs' text-to-speech capabilities. This allows our AI to deliver responses audibly, enhancing user engagement.

6. Running and Testing the AI Agent: After setting everything up, we run the application on localhost to test its responses, ensuring that everything from data collection to speech generation works seamlessly.

Example Interaction

To illustrate how our AI sales agent works, here is a sample interaction:

• AI: "Hello, my name is John from Top Tier Cleaning Services. We provide professional residential cleaning services. How can I assist you today?"
• User: "I want to book a cleaning for my three-bedroom apartment."
• AI: "Our pricing for a three-bedroom apartment is $ 240. Would you be interested in booking?"
• User: "No, that's too high."
• AI: "I understand. Let me offer you a 10% discount, bringing the total to $ 216. Does that work for you?"

Conclusion

Our AI agent is now equipped to engage in meaningful conversations with customers, understand their needs, and provide relevant service options. As we wrap up this tutorial, I encourage you to explore the code and resources shared, experiment with the implementation, and think about ways to enhance this functionality further.

By following these steps, you can build your own AI sales agents for various applications. Thank you for watching, and stay tuned for more upcoming videos detailing innovative AI projects.

Keywords

• AI Sales Agent
• Flask
• OpenAI
• ElevenLabs
• Conversation Management
• Data Collection
• Transcription
• Text-to-Speech

FAQ

Q1: What technologies are used in this AI project?
A1: This project utilizes Flask for the back-end, OpenAI for natural language processing, and ElevenLabs for text-to-speech capabilities.

Q2: How does the AI sales agent handle audio input?
A2: The AI uses OpenAI's Whisper model to transcribe audio input into text, enabling the sales agent to respond appropriately to user inquiries.

Q3: How is the conversation context maintained in the application?
A3: The application maintains the conversation state by storing previous messages in an array, allowing the AI to reference past interactions throughout the dialogue.

Q4: Can the AI sales agent offer discounts?
A4: Yes, the AI is programmed to provide discounts (up to 15%) to encourage customer engagement if they show hesitation in booking services.

Q5: Where can I find the resources used in this tutorial?
A5: The resources, including the GitHub repository and further documentation, can be found in the description below the video or article.