The Problem with Traditional Builders
Most automation platforms give you a canvas and a library of nodes. You drag them out, connect them, configure each one. It works, but it's slow — especially when you're setting up something for the first time.
For a simple three-step workflow, you might spend 15 minutes just getting the connections and field mappings right.
A Different Approach
Zigease's AI builder flips this around. Instead of building from components, you describe the outcome:
"When a new order comes in on Shopify, add the customer to HubSpot, send them a welcome email, and log the order in Google Sheets."
The AI understands your intent, selects the right integrations, maps the fields, and generates a complete workflow. You review it, tweak if needed, and activate.
Why This Works
The AI isn't guessing — it's working from a deep understanding of each integration's capabilities and data models. It knows that Shopify orders have customer emails, that HubSpot needs a contact object, and that Google Sheets needs column headers.
This means the generated workflows aren't just structurally correct — the field mappings are accurate too.
When to Use the Visual Editor
The AI builder is great for creating new workflows quickly. But sometimes you want fine-grained control — adding conditional logic, tweaking retry settings, or handling edge cases.
That's where the visual drag-and-drop editor comes in. Every AI-generated workflow can be opened in the editor for manual adjustments. The two approaches complement each other.
Try It
The fastest way to see the difference is to try it. Describe a workflow you've been meaning to set up, and see how long it takes.