TensorifyDocs

Quick Start

Goal

Get a workflow into the actual app + CLI loop:

  1. Open a workflow in app.tensorify.io
  2. Run tensorify watch <workflowId> locally
  3. Test a selected node from the app
  4. Inspect the stopped run

Before you start

You need:

  • access to app.tensorify.io
  • a local machine where you can run the Tensorify CLI
  • a workflow you can open in the editor

Step 1: Open or create a workflow

  1. Sign in to app.tensorify.io
  2. Open an existing workflow or create a new one
  3. Keep the workflow ID available for the CLI

For the earliest successful path, prefer a webhook or Stripe-style workflow over a blank abstract graph.

Step 2: Start the local watch loop

Run the CLI on your machine:

tensorify watch <workflowId>

Step 3: Select a node in the app

In the workflow editor:

  1. Select the node you want to test
  2. Open the test flow from the workflow header
  3. Choose one of the available payload modes

The intended test modes are:

  • mock payload
  • empty payload
  • captured webhook payload

Step 4: Run to the selected node

When the app sends the test command, the local watcher should run the workflow up to the selected node instead of always running the entire flow.

Step 5: Inspect the result

After the local run:

  • inspect the selected-node output
  • inspect available workflow variables
  • compare what you expected with what the stopped run actually produced

The goal is to debug from the app with real run context, not just terminal output.

Suggested first workflow

If you are deciding what to try first, use a workflow like this:

  1. Stripe Webhook Trigger
  2. Verify Event
  3. Load Customer / Order Context
  4. Conditional Branch
  5. Notify Team or Update Internal API

This is a robust first-use case for local-first automation.

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