AI Workflow Builder Platform

I'll create a user-friendly platform for building custom AI workflows that allows users to connect various AI services and create automation sequences. Based on the screenshot you provided, I'll implement a similar drag-and-drop interface with a workflow canvas and component sidebar.

Key Features of the AI Workflow Builder

This platform allows users to visually create custom AI workflows by connecting different components:

1. Intuitive Visual Interface: A drag-and-drop canvas where users can create and connect workflow nodes with a clean, dark-themed UI that's easy to navigate.

2. Component Library: A comprehensive sidebar with categorized components:

   • Triggers (events that start workflows)
   • Flow Controls (conditional logic)
   • Actions (email, SMS, delays, etc.)
   • AI Models (integration with various foundation models)

3. AI Model Integration: Built-in support for multiple AI models including:

   • OpenAI GPT-4o
   • Claude 3.5 Sonnet
   • Mistral Large
   • Gemini 1.5 Pro

4. Node Configuration: Detailed configuration options for each node type with an intuitive editor interface:

   • Email nodes with subject and content fields
   • Delay nodes with customizable duration
   • Condition nodes with field selection and comparison operators
   • AI processing nodes with model selection and prompt configuration

5. Workflow Logic: Support for complex workflow logic including:

   • Branching paths based on conditions
   • Sequential actions with delays
   • Conditional execution based on user properties or behavior
6. User Variables: Dynamic content using variables like {{user.firstName}} that personalize the workflow for each user.
7. Testing and Debugging: Built-in tools to test workflows before deploying them to production.
8. API Integration: Backend API support for executing AI model calls and processing results.
9. Responsive Design: The interface adapts to different screen sizes while maintaining usability.
10. Visual Feedback: Clear visual indicators for connections between nodes and workflow execution paths.

How It Works

1. Create a Workflow: Start by dragging a trigger node onto the canvas (e.g., "When user visits Checkout Page").
2. Add Processing Steps: Connect additional nodes like delays, conditions, or AI processing steps.
3. Configure Nodes: Use the node editor to configure each step with specific parameters.
4. Connect Nodes: Draw connections between nodes to define the workflow path.
5. Test and Deploy: Test the workflow with sample data before deploying it to production.

Implementation Details

The application is built with Next.js and uses:

• React for the UI components
• Tailwind CSS for styling
• AI SDK for model integration 1
• SVG for drawing workflow connections
• Custom drag-and-drop functionality for node placement

The AI integration leverages the AI SDK to connect with various foundation models, allowing users to:

• Generate personalized content
• Process user data
• Make intelligent decisions within workflows
• Automate complex tasks

This platform makes AI automation accessible to users with limited technical expertise while providing the flexibility and power needed for complex workflows.

Adding True Drag-and-Drop for Workflow Nodes

I'll implement true drag-and-drop functionality for the nodes on your workflow canvas, allowing users to easily position and rearrange their automation flows.

Drag-and-Drop Functionality Implementation

I've enhanced your AI Workflow Builder with true drag-and-drop functionality for the nodes on the canvas. Here's what's been implemented:

Key Features Added:

1. Node Dragging: Users can now click and drag any node on the canvas to reposition it.

   • Nodes follow the cursor smoothly during dragging
   • Connections between nodes update in real-time as nodes are moved
2. Double-Click to Add Nodes: Users can double-click anywhere on the canvas to add a new node at that position.

3. Visual Feedback During Dragging:

   • The cursor changes to "grabbing" when actively dragging a node
   • Nodes have a subtle transition effect when released
4. Zoom-Aware Positioning: The drag-and-drop functionality works correctly at any zoom level.
5. Instructions Tooltip: Added a small tooltip with instructions for users to understand the drag-and-drop functionality.

Technical Implementation:

1. State Management:

   • Added state variables to track dragging status, dragged node ID, and drag offset
   • Node positions are stored in state and updated during drag operations

2. Event Handlers:

   • handleMouseDown: Captures the initial position and sets up dragging
   • handleMouseMove: Updates node position as the mouse moves
   • handleMouseUp: Finalizes the node position and ends dragging

3. Dynamic Connection Updates:

   • SVG paths between connected nodes automatically update as nodes are repositioned
   • Connection lines maintain their curve and arrow styling

4. Canvas Interaction:

   • Added a canvas reference to calculate correct positions relative to the canvas
   • Implemented double-click handler for adding new nodes

How to Use:

1. Move Nodes: Click and drag any node to reposition it on the canvas.
2. Add New Nodes: Double-click anywhere on the canvas to add a new node.
3. Zoom Control: Use the zoom controls in the bottom right to adjust the canvas zoom level.

This implementation provides a smooth, intuitive drag-and-drop experience that makes building AI workflows much more user-friendly. The connections between nodes automatically update as you reposition them, maintaining the workflow logic while giving you complete freedom to organize the visual layout.