Orchestrate multi-step workflows without boilerplate

Chain functions into DAGs, run steps in parallel, add human approvals and webhook triggers — all from a visual UI.

How it works

From idea to running DAG in minutes

Define steps

Pick functions as pipeline steps. Configure inputs, outputs, and dependencies between them.

Connect and schedule

Link steps into a DAG or sequential chain. Add cron triggers or webhook listeners to start runs automatically.

Monitor in real time

Watch each step's status, logs, and output live. Replay failed steps without re-running the whole pipeline.

Features

Built for real workflows

DAG execution

Steps run in parallel when dependencies allow. Full dependency resolution out of the box.

Webhook triggers

Trigger a pipeline via HTTP POST with optional HMAC-SHA256 signature verification.

Manual approval

Pause execution and require a human sign-off before proceeding to the next step.

Cron scheduling

Run pipelines on a cron schedule — daily reports, batch jobs, cleanup tasks.

Example

DAG pipeline with webhook + cron

customer-support-pipeline.json

{
  "name": "customer-support",
  "mode": "dag",
  "steps": [
    {
      "id": "classify",
      "functionId": "intent-classifier",
      "next": ["billing", "technical", "general"]
    },
    {
      "id": "billing",
      "functionId": "billing-agent",
      "dependsOn": ["classify"]
    },
    {
      "id": "technical",
      "functionId": "tech-support-agent",
      "dependsOn": ["classify"]
    }
  ],
  "triggers": {
    "webhook": { "secret": "{{WEBHOOK_SECRET}}" },
    "cron": "0 9 * * 1-5"
  }
}

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