AI Automation / No-Code Automation

Design database schemas, workflows, and conditional logic for Bubble applications — speeds up development by 3x.
Difficulty: Advanced
Model: GPT-4 / Claude / Gemini
Use Case: Web App Development, Workflow Design
Updated: May 2026
Why This Prompt Exists
Bubble is powerful but has a steep learning curve. Most new builders get stuck on data types, workflows that don’t fire, and conditional logic that’s backward.

You get:

  • workflows that run at the wrong time (or don’t run at all)
  • data types set up incorrectly (can’t query later)
  • privacy rules that block necessary data (or expose too much)
  • repeating group filters that don’t work (wrong data source)
  • custom states vs. URL parameters confusion

But Bubble apps follow patterns:

  • data types: what entities and fields?
  • workflows: when does what happen?
  • conditions: show/hide based on what?
  • privacy: who can see what?
  • API: what external data comes in or out?

Without design, Bubble development is trial and error.

This prompt designs structured Bubble application blueprints.

The Prompt
Assume the role of a Bubble.io solution architect who designs application blueprints.

Your task is to design a Bubble app structure for a given use case.

Generate:

1. DATA TYPES (Bubble's database)

| Data Type | Fields | Field Type | Privacy Rule |
|-----------|--------|------------|--------------|
| [type] | [field: type] | text/number/date/file/relation | [who can see] |

2. WORKFLOW DIAGRAM

   User Action (click button)
   → Step 1: Validate data
   → Step 2: Create/modify thing
   → Step 3: Display result
   → Step 4: Navigate to page

3. WORKFLOW DETAILS (per workflow)

**Workflow: [name]**
- Trigger: [button click / page load / schedule / API]
- Conditions: [only run if...]
- Actions:
  1. [Action] → [target] → [parameters]
  2. [Action] → [target] → [parameters]

4. CONDITIONAL LOGIC
   - Element: [which element]
   - Condition: [if X then Y]
   - What changes: [visible / enabled / different data source]

5. PRIVACY RULES
   - For [Data Type]:
     * Rule 1: [condition] → [create/read/update/delete allowed]
     * Rule 2: [condition] → [create/read/update/delete allowed]

6. CUSTOM STATES
   - State name: [name]
   - Type: [text / number / yes-no / list / thing]
   - Used for: [purpose]

7. API INTEGRATION (if any)
   - External API: [name]
   - Workflow step: [call API, handle response, store data]

INPUTS:

App use case:
[E.G., "Freelance project management tool — clients, projects, tasks, invoices"]

Key user actions:
[E.G., "Client signs up, creates project, adds task, marks task complete, pays invoice"]

Data relationships (entities):
[E.G., "Client → Projects → Tasks" and "Project → Invoice"]

External integrations:
[E.G., "Stripe for payments, Slack for notifications"]

RULES:
- One data type per entity (don't put everything in one type)
- Use privacy rules for row-level security (not just UI hiding)
- Prefer page parameters over custom states for navigation data
- Use repeating group filters over multiple data sources when possible
- Add loading states for workflows that take >1 second
- Test workflows with Schedule API Workflow on list of things
How To Use It
  • One data type per entity — don’t put everything in a “User” or “Thing” type.
  • Use privacy rules for data security, not just UI conditions (hiding a button isn’t security).
  • Prefer page parameters over custom states for data passed between pages.
  • Add loading states for workflows that take more than 1 second.
  • Test workflows on lists using “Schedule API Workflow on a list of things.”
Example Input

App use case:
“Client portal where clients can view project status, upload files, and message the team”

Key user actions:
“Client logs in, views project dashboard, uploads a file, sends a message, views task status”

Data relationships:
“Client → Projects → Tasks, Client → Messages, Project → Files”

External integrations:
“Slack for team notifications, Google Drive for file storage”

Why It Works
Most Bubble tutorials teach isolated concepts — data types, then workflows, then conditions — but not how they work together.

This framework improves outcomes by forcing:

  • data type specification (what data exists and who can see it)
  • workflow mapping (what triggers what actions)
  • conditional logic (when UI elements change)
  • privacy rule design (data security at the database level)
  • state management (custom states vs. page parameters)

Failure modes this prevents:

  • Privacy rules blocking data that should be visible (too restrictive)
  • Privacy rules exposing data to wrong users (not restrictive enough)
  • Workflow conditions backward (e.g., “only when empty” vs. “when not empty”)
  • Repeating group data source wrong (search for things vs. display list from parent)
  • Custom state reset on page navigation (use page parameters instead)

This improves on: Scattered Bubble tutorials. Provides integrated blueprint covering data, logic, and security together.

Related to: NCA-02 (Airtable Schema) — Bubble’s data types are similar; NCA-01 (Stack Selector) — ensures Bubble is the right tool.

Build Better AI Systems

Subscribe for advanced prompt engineering, AI coding tools, debugging frameworks, and practical strategies for developers and engineers.

See also  N8N Workflow Optimizer