Drag nodes, wire them together, and run real AI workflows. No infrastructure to stand up, no framework to learn. The same patterns you would hand-build in code, as boxes you connect.
Everything you would otherwise build by hand, already a node you can drop and wire.
Pull a node from the palette, connect its handles to the next one, and run. The canvas is the program. There is no separate config to keep in sync.
Inputs and outputs, AI calls, code, HTTP and database calls, branches, loops, email, and triggers. More than twenty node types, each doing one job.
Reference any upstream node's output with {{Node Label.field}}. Type @ to pick it from a list. No glue code to move values around.
Each node lights up as it executes and streams its output in real time. When something breaks, you see which node and why, instead of digging through logs.
Drag-and-drop covers most of the work. When it does not, a Code node runs your script, and the Sandbox node runs it in a disposable environment that cannot touch anything else.
Orchestrator, worker pools, parallel fan-out, and evaluator loops are node types you drop in, not infrastructure you wire up by hand.
And it holds up. Every canvas runs on durable execution, so retries, long-running jobs, and queues are handled for you. A workflow that runs in the editor runs the same way in production.