Workflow Automation
Build powerful AI pipelines with a visual editor. No coding required -- just drag, connect, and run.
How It Works
Design Your Flow
Drag nodes onto the canvas and connect them to define your workflow logic.
Configure Nodes
Set up LLM prompts, conditions, HTTP endpoints, code scripts, and variables.
Test & Debug
Run your workflow and inspect each node's input/output in real-time.
Deploy & Schedule
Run manually or set up scheduled triggers. Publish to the marketplace.
15+ Node Types
Everything you need to build complex AI automation pipelines.
LLM Call
Send prompts to AI models
Condition
If/else branching logic
HTTP Request
Call external APIs
Code Execute
Run Python/JS scripts
Variable
Set and transform data
Loop
Iterate over collections
Merge
Combine parallel outputs
Delay
Wait before continuing
Human Review
Approval checkpoints
Text Template
Generate formatted text
JSON Parse
Extract structured data
Filter
Filter data by rules
Aggregate
Collect and summarize
Switch
Multi-way branching
Output
Return final results
Key Capabilities
Visual DAG Editor
Drag-and-drop interface with real-time validation. The DAG engine ensures no circular dependencies.
Scheduled Triggers
Run workflows on a schedule with cron expressions, or trigger manually.
Variable Templating
Use {{variable.path}} syntax to pass data between nodes dynamically.
Marketplace
Share your workflows publicly or clone workflows created by others.
Who It's For
Automation Engineers
Build complex data pipelines that combine AI processing with API calls and business logic.
Content Teams
Automate content generation, translation, review, and publishing workflows.
Data Analysts
Create repeatable data processing workflows with AI-powered analysis steps.
Build Your First Workflow
Start with a template or build from scratch. No coding required.
Get Started