AI + Bubble.io

Bubble.io + Make + AI: Automating Workflows with Intelligence

When AI needs to do more than answer a question — when it needs to trigger actions, update records, send emails, or orchestrate multi-step processes — you need Bubble.io and Make working together.

2 PlatformsOne workflow
Multi-stepAI automation
No-CodeThroughout
Why Combine Them?

Bubble.io vs Make: What Each Does Best

Bubble.io and Make are not competitors — they complement each other for different parts of your automation stack.

Bubble.io Handles

  • User-facing application — the screens, inputs, and interactions
  • Your data model — the database records and relationships
  • Business logic that requires database reads/writes
  • User authentication and permissions
  • Real-time UI updates when data changes

Make (Integromat) Handles

  • Multi-step automation triggered by events in Bubble or elsewhere
  • Connecting 1000+ external services without custom API code
  • Error handling, retries, and execution logging for automation
  • AI processing on data before it enters Bubble
  • Scheduled automation and background processing pipelines
Connection Setup

How to Connect Bubble.io and Make

The connection works bidirectionally — Bubble can trigger Make, and Make can update Bubble.

1

Bubble → Make: Webhook trigger

In Make, create a new scenario with a Webhooks module as the trigger. Copy the webhook URL. In Bubble, create a backend workflow triggered on a database event (e.g., new form submission). Add action: API Connector → POST to the Make webhook URL with the relevant data as JSON body.

2

Make → Bubble: API calls

In Make, use the HTTP module to call Bubble’s Data API or Workflow API. Bubble’s Data API allows Make to create, read, update, and delete records. The Workflow API allows Make to trigger specific backend workflows in Bubble.

3

Authentication

For Make → Bubble calls, enable the Bubble Data API in your app settings, generate an API token, and add it as a header in Make’s HTTP module: Authorization: Bearer YOUR_BUBBLE_TOKEN.

Real Workflows

AI Automation Patterns That Work in Production

These are real workflow patterns SA Solutions has built for clients using Bubble + Make + AI.

📧

AI-Powered Lead Qualification

New lead submits form in Bubble → Webhook triggers Make → OpenAI GPT-4o scores the lead against your ICP criteria → Make updates the lead record in Bubble with score + reasoning → Bubble shows score to sales team + triggers different email sequence based on score.

📄

Document Processing Pipeline

User uploads PDF in Bubble → Bubble stores file URL in database → Webhook triggers Make → Make downloads file, extracts text via OCR, passes to Claude for analysis → AI extracts structured data → Make creates new Bubble records with extracted fields → User sees populated data without manual entry.

💌

AI Email Response Drafts

New support ticket created in Bubble → Webhook triggers Make → Make searches knowledge base via embeddings → Passes relevant context + ticket to GPT → AI drafts response → Make creates a ‘Draft Response’ record in Bubble → Support agent reviews, edits, and sends with one click.

📊

Automated Report Generation

Scheduled Make scenario runs nightly → Fetches all metrics from Bubble Data API → Passes to GPT with analysis prompt → AI generates executive summary narrative → Make updates ‘Daily Report’ record in Bubble → Users see AI-narrated insights on morning login.

Error Handling

Making Your AI Automation Production-Safe

AI workflows fail more than regular automation because they depend on external APIs. Build resilience in.

In Make

  • Enable error handlers on every AI module — catch 429 (rate limit) and retry with delay
  • Add an Error Route that logs failures to a Bubble error_log data type
  • Set execution history retention to maximum for debugging
  • Use Make’s built-in alerting to notify your team of scenario failures

In Bubble

  • Add a status field to records being processed: pending / processing / complete / failed
  • Never show users partial AI output — only display when status = complete
  • Add a manual retry button for records stuck in failed status
  • Log the full error message from Make in a dedicated field for debugging

Want Bubble + Make + AI Built For You?

SA Solutions designs and builds full automation stacks — Bubble.io applications connected to Make scenarios with AI at every intelligent decision point.

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