What is a workflow?
A workflow is a series of connected nodes that work together to accomplish a task. When you run a workflow:
- Data enters through input nodes
- Each node processes the data and passes it to the next
- Final results are output or saved
Think of it as a production line where each station (node) adds value to the product (data).
Creating a workflow
Start a new workflow
- Click New Workflow in the Studio
- Give it a descriptive name (e.g., “SEO Content Audit”)
- You’ll see an empty canvas ready for nodes
Add your first node
Every workflow needs at least one node:
- Click Add Node in the left sidebar
- Choose a node from the library
- Click to add it to the canvas
Most workflows start with an input node (like Text Input) or a data source node (like Google Sheets Reader).
Connect nodes together
To pass data between nodes:
- Hover over the output point (right side) of a node
- Click and drag to create a connection line
- Drop on the input point (left side) of another node
Connections show the data flow direction with arrows.
Workflow patterns
Linear workflow
The simplest pattern — data flows in a straight line:
Input → Process → Transform → Output
Parallel workflow
Multiple branches process data simultaneously:
┌→ Branch A →┐
Input →│ │→ Merge → Output
└→ Branch B →┘
Conditional workflow
Different paths based on conditions:
┌→ Path A (if true) →┐
Input →│ │→ Output
└→ Path B (if false)→┘
Loop workflow
Repeat actions for multiple items:
Input (list) → Loop [Process each item] → Collect results
Workflow organization
Naming conventions
Use clear, descriptive names:
| Type | Example |
|---|
| Workflow | ”Weekly SEO Report Generator” |
| Nodes | ”Fetch Keywords”, “Calculate Scores” |
Visual organization
Keep your canvas clean:
- Left to right: Start inputs on the left, outputs on the right
- Group related nodes: Keep similar functions together
- Use spacing: Don’t crowd nodes together
- Align nodes: Use the grid to keep things tidy
Adding descriptions
Document your workflow for future reference:
- Click Settings in the top bar
- Add a Description explaining what the workflow does
- Add Tags to organize your workflows
Workflow settings
Timeout settings
Set maximum execution time to prevent runaway workflows:
| Setting | Description | Default |
|---|
| Workflow timeout | Max total time | 30 minutes |
| Node timeout | Max per node | 5 minutes |
Error handling
Choose what happens when a node fails:
- Stop workflow: Halt execution immediately
- Continue: Skip the failed node and continue
- Retry: Attempt the node again (1-3 times)
Define what inputs your workflow accepts:
inputs:
- name: url
type: text
required: true
description: "URL to analyze"
- name: depth
type: number
required: false
default: 1
Running workflows
Manual execution
- Click the App button in the top bar
- Fill in any required inputs
- Click Start
- Watch the real-time progress
Viewing results
After execution:
- Green nodes: Completed successfully
- Red nodes: Failed (click to see error)
- Grey nodes: Not executed
Click any node to see its output in the right panel.
Execution logs
Access detailed logs:
- Click Run History in the execution panel
- See timestamp, duration, and data for each node
- Debug issues with full request/response data
Workflow templates
Don’t start from scratch — use templates:
- Go to Workflows Library in the Studio
- Browse by category (SEO, Marketing, etc.)
- Click Use Template to create a copy
- Customize for your needs
Browse Templates
Explore 50+ ready-made workflows
Best practices
Start simple
Begin with a basic workflow and add complexity gradually:
- ✅ Build the happy path first
- ✅ Test with real data
- ✅ Add error handling
- ✅ Optimize for performance
Test incrementally
After adding each node:
- Run the workflow
- Verify the output is correct
- Then add the next node
Handle errors gracefully
- Use Conditional nodes to check for empty data
- Add Fail nodes for clear error messages
- Configure retry logic for flaky APIs
- Minimize API calls: Cache when possible
- Use parallel branches: Run independent tasks simultaneously
- Limit loop iterations: Add safeguards for large datasets
Next steps
