AI + Bubble.io

How to Add AI to Your Bubble.io App: A Complete Guide

Your Bubble.io app is live. Now users want it smarter. This complete guide walks through every AI integration option — from text generation to chatbots to predictive features — and exactly how to wire them up.

3 APIsCovered in depth
0 CodeRequired to follow this guide
1 GuideEverything you need
The Basics

What ‘Adding AI’ Actually Means

When founders say they want AI in their app, they usually mean one of three things — and each has a different implementation path.

✍️

Generative AI

The app writes, summarises, or creates content — text, images, or structured data — based on user input or stored records.

💬

Conversational AI

Users ask questions and receive intelligent answers. Think support chatbots, onboarding assistants, or in-app knowledge bases.

📊

Predictive AI

The app scores, classifies, recommends, or forecasts — surfacing insights from the data your users have already generated.

Core Setup

The API Connector: Your Bridge to Any AI

All AI integration in Bubble.io flows through the API Connector plugin. Here is the exact setup for OpenAI.

Navigate to Plugins → API Connector in your Bubble editor. Create a new API named OpenAI, set authentication to Private key in header, and add the Authorization header:

Authorization: Bearer YOUR_OPENAI_API_KEY

Create a new call with method POST and endpoint:

https://api.openai.com/v1/chat/completions

Set the request body — wrapping user input in angle brackets makes it a Bubble dynamic parameter:

{
"model": "gpt-4o-mini",
"messages": [
{ "role": "system", "content": "You are a helpful assistant." },
{ "role": "user", "content": "" }
],
"max_tokens": 500
}

📌 In Bubble workflows, pass the value of any input element or database field into . The API Connector handles the substitution automatically.

AI Services

Which AI Service Should You Use?

🟢

OpenAI GPT-4o / GPT-4o mini

Best for text generation, summarisation, Q&A, classification. GPT-4o mini is fast and affordable for high-frequency tasks. GPT-4o handles complex reasoning. Most Bubble.io developers start here.

🔵

Anthropic Claude

Best for longer document analysis, nuanced writing, and instruction-following with fewer errors. Claude’s large context window suits apps that process user-submitted documents or long chat histories.

🟡

Google Gemini

Best for multimodal tasks — text plus image in the same request. If your app processes uploaded images alongside text, Gemini is the natural fit.

Implementation

Step-by-Step: Connecting the API Call to a Workflow

Once the API Connector is configured, wiring it to your app takes four steps.

1

Initialise the call

Click ‘Initialize call’ in the API Connector. Bubble makes a test request and maps the response fields — including choices[0].message.content, which is the AI’s reply. These mapped fields become available anywhere in your Bubble editor.

2

Create a workflow trigger

Add a workflow to any button, input change, or page event. Choose ‘Plugins → YourAPIName – YourCallName’ as the action. Pass the dynamic value into the parameter you defined.

3

Store the response

Use a ‘Make changes to a Thing’ or ‘Create a new Thing’ action to save the AI response to your database. This lets you display it, reference it later, or use it in other workflows.

4

Display the result

Bind a Text element’s content to the relevant database field or use the workflow result directly in a custom state if you do not need persistence.

What to Build

AI Features You Can Add Right Now

These are the most common AI capabilities founders add to Bubble.io apps — each achievable with the API Connector and a well-designed prompt.

Content & Writing

  • Auto-generate product descriptions from structured fields
  • Summarise long user-submitted text into key points
  • Draft email responses based on support tickets
  • Generate personalised onboarding copy for each user

Classification & Extraction

  • Classify incoming support tickets by category and urgency
  • Extract structured data from unstructured form responses
  • Tag or label user-generated content automatically
  • Sentiment analysis on customer feedback or reviews

Conversational

  • In-app chatbot with knowledge of your product
  • FAQ assistant that answers from your documentation
  • Onboarding guide that responds to user questions
  • AI search that understands natural language queries

Recommendation & Personalisation

  • Recommend next steps based on user behaviour
  • Personalise dashboard content per user profile
  • Suggest relevant items from your database
  • Adaptive coaching or learning paths

Ready to Add AI to Your Bubble.io App?

SA Solutions builds custom Bubble.io applications with AI integration built in from day one. Whether you need a simple text generation feature or a fully conversational AI layer, we handle the architecture.

Schedule a Free CallView Our Bubble.io Work

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