Build a Multi-Language Voice AI Agent in Minutes (No Code!)

Key Concepts:

• Multi-language AI voice assistant
• No-code voice platform (Retail AI)
• Universal prompt (identity, guidelines, instructions)
• Functions (transfer call, end call)
• Language model (GPT5, 11 Labs Turbo V2.5 multilingual)
• Webhooks (data capture and processing with Naden)
• Self-hosting (Hostinger)
• AI agent certification

1. Building a Multi-Language Hospital Receptionist AI

• The video demonstrates how to build a multi-language AI voice assistant for a hospital receptionist using Retail AI, a no-code voice platform.
• The AI can detect the caller's language and switch to it dynamically.
• The creator provides all resources, including prompts and Naden workflows, for free.
• The example focuses on a hospital receptionist, but the principles can be applied to any industry with slight prompt adjustments.

2. Front-End Setup with Retail AI

• Retail AI: A user-friendly, no-code voice platform. Sign up for a free account using the link in the description.
• Creating an Agent: Click "Create Agent," then "Voice Agent," and choose "Single Prompt Agent" for a simple receptionist. "Start from Blank" to open a blank canvas.
• Universal Prompt: This defines the AI's identity, persona, and instructions.
  • Example: "You are Katie, an inbound receptionist for Valley View General Hospital. You are friendly, and your objective is to provide quick answers. If you don't know the answer, transfer the call to a human receptionist."
  • The prompt is available in the free community (link in description) under "YouTube Resources."
• Functions:
  • Transfer Call: Transfers the call to a human receptionist if the AI doesn't know the answer or the customer is angry. Add the function by clicking "Functions," then "Add," and selecting "Transfer." Enter the phone number to transfer to.
  • End Call: Ends the call when the conversation is over. Add the function by clicking "Functions," then "Add," and selecting "End Call."
• Welcome Message: Change to "AI speaks first" to have the AI initiate the call.

3. Implementing Multi-Language Support

• Language Prompt: Include a prompt specifying the languages the AI can speak (e.g., "You can speak English, Spanish, German, Italian, Hindi, and French").
• Language Model Settings:
  • Select the language model (e.g., GPT5 Fast).
  • Click the gear icon (settings).
  • Change the language setting from "English" to "Multilingual." This enables seamless code-switching between supported languages (English, Spanish, French, German, Hindi, Russian, Portuguese, Japanese, Italian, and Dutch).
  • The voice model will automatically switch to a multilingual version (e.g., 11 Labs Turbo V2.5 Multilingual).
• Testing: Test the AI to ensure it correctly detects and switches between languages.

4. Back-End Data Processing with Naden

• Webhooks: Used to capture conversation data and send it to the back end for processing.
• Naden: An AI agent used to process the data received from the webhook, update CRM, etc.
• Hostinger: A cost-effective option for self-hosting Naden on a virtual private server (VPS).
  • Installation: Choose the KVM2 plan, select a 24-month term for the best discount, and use the code "AIWORKSHOP" for an additional 10% off.
  • Accessing Naden: After installation, click "Manage App" in the Hostinger dashboard to access your Naden instance.
• Webhook Setup in Naden:
  • Download and import the provided Naden workflow from the AI community.
  • The webhook uses the POST method.
  • Copy the test URL from Naden and paste it into the webhook setting in Retail AI.
  • The Naden workflow includes an "if" statement to filter for the "call analyze" webhook from Retail AI, which contains the transcript.
• Testing the Webhook: Click "Test Workflow" in Naden and then "Test" in Retail AI to send test data.

5. Advanced Features and Certification

• Additional Functions: Retail AI supports more complex functions like checking calendar availability and booking appointments.
• AI Workshop Community: A paid community with a comprehensive course on Retail AI, covering all features, functions, and how to build complex voice AI agents.
• Certification: Exclusive certification program to become a certified voice AI agent expert.
• Agency Course: A five-week program that teaches how to start an AI agency, including choosing a niche, pricing services, running discovery calls, and launching a career.

6. Notable Quotes:

• "You are Katie, an inbound receptionist for Valley View General Hospital. You are friendly, and your objective is to provide quick answers. If you don't know the answer, transfer the call to a human receptionist." (Example of a universal prompt)

7. Technical Terms:

• Retail AI: A no-code voice platform.
• Universal Prompt: Instructions given to the AI agent to define its behavior.
• Functions: Pre-built actions the AI can perform (e.g., transfer call, end call).
• Language Model: The AI model used for speech recognition and generation (e.g., GPT5, 11 Labs Turbo V2.5).
• Webhook: A mechanism for sending real-time data from one application to another.
• Naden: An AI agent used for back-end data processing.
• Hostinger: A web hosting provider used for self-hosting Naden.

8. Logical Connections:

• The video starts with a demonstration of the multi-language AI, then explains the front-end setup in Retail AI, followed by the back-end data processing with Naden.
• The universal prompt is connected to the functions, as the prompt instructs the AI to use the functions under certain conditions.
• The Retail AI setup is connected to the Naden setup through the webhook, which sends data from Retail AI to Naden.

9. Synthesis/Conclusion:

The video provides a detailed, step-by-step guide on building a multi-language AI voice assistant using Retail AI and Naden. It covers the front-end setup, multi-language implementation, back-end data processing, and advanced features. The creator emphasizes the accessibility of the platform and provides all necessary resources for free, while also promoting a paid community for more advanced learning and certification. The key takeaway is that anyone can build and deploy a sophisticated AI voice assistant with no coding experience, opening up opportunities for businesses and individuals alike.