Problems
What slows down your AI development
Hardcoding LLM chains means every change requires a redeploy and breaks other parts of your pipeline.
Juggling prompt versions, model configs, and API keys across files makes pipelines impossible to maintain.
There's no visibility into what each node ran, what it returned, or where your pipeline actually failed.
Features
Everything wired in one canvas
Forget tangled LLM spaghetti code.
HTTP Request Node
Hit any external API mid-pipeline. Pass node outputs as headers, params, or request body downstream.
Workflow Versioning
Every save creates an immutable snapshot. Roll back to any prior version with a single click, no data lost.
75%Pipeline load
Execution Load
Monitor active node usage and execution concurrency to keep pipelines running efficiently.
Live run tracking
A node-by-node view of every execution, input, output, and failure in your pipeline.
Research pipeline
GPT-4o summarizer flow
Webhook trigger #4
Customizable Canvas
Node TypesTriggersRun History
00:03
pause
stop
view
list
and a lot more nodes...