Learn how to create a Claude 3 AI No Code app in just 15 minutes with the help of Bubble.io tutorials at Planetnocode.com.

Create a Claude 3 AI app in 15 minutes? It’s possible! Using Bubble and the new models from Anthropics, you can build a chat interface that’s both fun and easy. Just add a multiline input and a button, then display the messages in a repeating group. With some clever API integration, you can make it smart enough to understand the context of the conversation. It’s like magic!✨

Setting Up the Interface 📱

When building a Bubble app, you want to avoid using fixed layouts and instead opt for a column layout. To create a multi-line input and a button, simply add a button component and group it together with a column. Additionally, you’ll need a repeating group to display a list of data. Ensure that your database structure includes parameters such as roles and content for sending and receiving messages.

ParameterDescription
RoleThe role of the message, either user or assistant
ContentThe text content of the message

This sets the foundation for a robust chat interface within your Bubble app.

Defining Data Types and Structures 💡

To create a message type with Claude, you’ll need to establish a message data type within your database. You can also utilize option sets, which offer a list of predefined options for fields like roles and attributes.

Message with Claude:
- Roll (user/assistant)
- Content (text)

This ensures that your app is equipped to handle the roles and content associated with the conversation flow.

Implementing API Calls 🖥️

To integrate Claude’s API into your Bubble app, you’ll need to initialize API calls and map out the expected input and output. This involves defining the appropriate privacy rules and ensuring that conversations are seen only by the intended users. By utilizing the power of your database and workflow components, you can create an action that triggers the sending and receiving of messages within the chat interface.

ActionFunction
Send MessageInitiates the message-sending process

With these foundational components in place, your app is ready to interact with Claude’s AI capabilities seamlessly.

Enhancing Historical Conversational Context 🔄

For the AI to be fully aware of the context of previous messages, it’s vital to provide a list of messages to Claude when processing each new interaction. This historical context allows Claude’s model to understand the flow and content of the conversation, resulting in more accurate and personalized responses.

Historical Messages:
1. User: "How are you today?"
2. Assistant: "I'm doing okay today."
3. User: "What is the capital of the UK?"
4. Assistant: "The capital of the UK is London."
5. User: "Plan a 5-day trip there."

By ensuring that the AI has access to the full scope of the conversation history, you can maximize the effectiveness of the chat interface.

Conclusion 🎯

By following these steps, you can leverage Bubble and Claude’s AI capabilities to create a personalized chat interface in just 15 minutes. This foundational setup allows you to build upon the core functionality and tailor the user experience to your specific requirements.

Key Takeaways:

  • Utilize column layouts and input components for an intuitive interface.
  • Establish data types and structures to handle message roles and content.
  • Integrate API calls to enable seamless interaction with Claude’s AI capabilities.
  • Enhance historical conversational context for more personalized responses.

For further details on privacy rules and customization options, be sure to explore the full capabilities of the Anthropics AI console. Feel free to leave any questions or comments below, and don’t forget to like and subscribe to support the Planetnocode.com channel. 🚀

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