Build Your Own ChatGPT. Here is how (Loveable + n8n Tutorial)

Key Concepts

• No-code chatbot creation
• Lovable.dev (front-end)
• Naden AI agent (back-end)
• Webhooks for communication
• Prompt engineering
• SERP API integration
• Workflow automation

Creating a Chatbot with Lovable and Naden: A No-Code Tutorial

1. Setting up Lovable

• The tutorial begins by accessing the Lovable dashboard. New users can sign up for a free trial or use the free version, which allows for five messages per day.
• The first step is to create a prompt for the chatbot. The presenter references a "lovable universal prompt generator" from their community, designed for Claude or ChatGPT, to generate a comprehensive prompt.

2. Generating a Prompt with ChatGPT

• The user wants to create an app with Lovable.dev that's a clone of ChatGPT.
• The presenter uses ChatGPT to generate a prompt for Lovable, specifying the use of a Naden webhook for communication.
• The prompt template includes placeholders for the webhook URL.

3. Configuring the Naden Workflow

• In Naden, a new workflow is created. The first step involves using the "on webhook call" trigger.
• The method is changed to POST.
• A custom path is set for the webhook URL (e.g., "/yourname").
• The generated webhook URL is copied and pasted into the prompt template in ChatGPT.
• The presenter emphasizes that the universal prompt handles all communication details, so the user only needs to paste the webhook URL.

4. Integrating the Prompt into Lovable

• The comprehensive prompt generated by ChatGPT is copied and pasted into Lovable.
• Lovable automatically generates the code based on the prompt.
• The presenter switches to Naden to configure the AI agent while Lovable generates the front end.

5. Configuring the Naden AI Agent

• An AI agent is added to the Naden workflow.
• The chat model is set to GPT-4 Mini (other options are available).
• A SERP API is added to give the AI agent access to the internet for relevant data.
• The "connect to chat trigger" is changed to "define below."
• The presenter plans to add the message from the front end to the AI agent later.

6. Testing and Fixing Errors in Lovable

• Lovable completes the first iteration of the front end.
• An error occurs, but Lovable's "fix it" feature automatically resolves it.
• The presenter demonstrates how to update the UI by providing a screenshot of the desired interface. Lovable updates the UI to match the screenshot.

7. Testing the Webhook Connection

• The Naden workflow is tested.
• A message ("hello testing") is sent from Lovable.
• The Naden workflow successfully receives the message via the webhook, confirming the connection.

8. Connecting the AI Agent and Responding to the Webhook

• The AI agent is activated in Naden.
• The message from the webhook body is extracted.
• A "respond to webhook" node is added to send the AI agent's response back to the front end.
• The webhook settings are changed from "respond immediately" to "respond to webhook node."
• The "respond to webhook" node is configured to "all incoming items."

9. Troubleshooting and Fixing the Response

• The workflow is tested again.
• The AI agent processes the message and generates a response, but the response is not displayed in Lovable.
• The presenter uses Lovable's feedback feature to report that the response from the Naden webhook is not being received.
• Lovable automatically fixes the issue by updating the index.tsx file.

10. Final Testing and Demonstration

• The page is refreshed, and the workflow is tested again.
• The chatbot successfully answers questions, such as "What is the capital of Spain?" and "What is the weather like today in San Francisco?"
• The AI agent uses the SERP API to provide accurate weather information.
• The presenter concludes by emphasizing the ease of connecting Naden and Lovable to build a chatbot with a custom workflow and user interface.

Conclusion

The tutorial demonstrates a no-code approach to building a chatbot using Lovable as a front-end and Naden as a back-end. By leveraging a universal prompt, webhooks, and AI agents, users can create functional chatbots with custom UIs and access to real-time data. The tutorial highlights the ease of use and error-handling capabilities of no-code platforms like Lovable.