How to Add AI Features to Your Bubble.io App Using OpenAI
Every SaaS product built in 2026 should have at least one AI-powered feature. With Bubble’s API Connector and OpenAI’s API, you can add content generation, classification, summarisation, and conversational AI in under an hour — with zero custom backend code.
Connecting OpenAI to Bubble in 4 Steps
API Name: OpenAI
Authentication: Private key in header
Key: Authorization
Value: Bearer sk-YOUR_OPENAI_KEY ← mark Private
Method: POST
URL: https://api.openai.com/v1/chat/completions
Body (JSON):
{
“model”: “gpt-4o”,
“messages”: [
{“role”: “system”, “content”: “<system_prompt>”},
{“role”: “user”, “content”: “<user_input>”}
],
“max_tokens”: 800
}
Fill in sample values for system_prompt and user_input. Click Initialize Call. Bubble fires the API request and maps the response. After initialization, reference the result as result’s choices:first item’s message’s content in your workflow steps.
Step 1: OpenAI — Generate Text
system_prompt = “You are a product description writer…”
user_input = Product Name Input’s value
Step 2: Set custom state “ai_result”
= Step 1’s choices:first item’s message’s content
// Text element displays: ai_result state’s value
8 AI Features You Can Build in Bubble This Week
Content Generation
Generate product descriptions, email subject lines, blog outlines, or social captions from a short user prompt. The most common first AI feature — and the fastest to build.
Document Summarisation
Paste in a long document or contract — GPT-4o returns a structured summary with key points, action items, and risks. Pass the text as user_input, structure the summary in the system prompt.
Smart Classification
Classify user-submitted content into categories, sentiment labels, or priority levels automatically. Pass the content and a list of categories in the prompt — return a structured JSON label.
In-App Chat Assistant
A chat interface where users ask questions about your product or their own data. Build a Message history data type, pass the last N messages as context on each call, stream the response into the UI.
Resume / Profile Analysis
Paste a resume or LinkedIn profile — AI extracts skills, experience years, seniority level, and fit score for a job description. Powerful for HR tech or hiring SaaS products.
Personalised Recommendations
Pass a user’s history (records created, features used, preferences) and ask GPT-4o to recommend next steps, features to try, or similar items. Drives engagement and perceived intelligence.
Store AI Usage as Credits, Not Free Calls
OpenAI charges you per token. If your plan includes AI features, track usage per workspace with an ai_credits_used field. Decrement on each call. When credits reach the plan limit, show an upgrade prompt. This makes your AI feature a natural monetisation lever — not a cost centre.
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