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Quick Start Guide

This guide takes you from a blank canvas to a running workflow in about 5 minutes. You will build a workflow that receives a webhook, makes an HTTP request, and returns a response — then test it locally using the CLI.

Before You Begin

Make sure you have:

  • A Tensorify account at app.tensorify.io
  • Node.js 18+ and Python 3.10+ installed
  • The CLI installed: npm install -g @tensorify.io/cli

See Installation for detailed setup.

Step 1: Create a Workflow

Sign in to app.tensorify.io and complete the onboarding to create your workspace. Then from the dashboard:

  1. Click New Workflow
  2. Give it a name — for example, my-first-workflow
  3. Click Create

The canvas will open with an empty graph.

Step 2: Add a Webhook Trigger

Every workflow needs a trigger — the event that starts execution. Add a Webhook node:

  1. In the node palette on the left, find Webhook under Triggers
  2. Drag it onto the canvas
  3. Click the node to open its settings panel
  4. Leave the defaults as-is for now (method: POST, verification: none)

Step 3: Add an HTTP Request Node

Next, add an action. This node will call an external API when the webhook fires:

  1. Drag an HTTP Request node onto the canvas
  2. In its settings, set:
    • Method: GET
    • URL: https://httpbin.org/get
  3. Connect the payload output of the Webhook node to the body input of the HTTP Request node

Step 4: Get Your API Key

Go to Settings → API Keys, create a new key, and copy it.

Then in your terminal:

export TENSORIFY_API_KEY="your_key_here"

Step 5: Start the Dev Loop

Find your Workflow ID from the URL in your browser: app.tensorify.io/workflow/<workflowId>.

Start the watch loop:

tensorify watch <workflowId>

Expected output:

✓ Connected to Tensorify
✓ Watching workflow: my-first-workflow
  Waiting for test signals from the editor...

The CLI is now listening. Leave this terminal running.

tensorify watch is for development only. It executes test signals from the canvas editor. For production, use tensorify run instead — see Running Workflows.

Step 6: Test from the Canvas

Back in the browser:

  1. Click the Test button in the top toolbar
  2. Select the HTTP Request node as the target
  3. Click Run to Selected

The workflow executes on your local machine up to the selected node.

Your terminal will show the execution log. In the editor, click the HTTP Request node to see its output — the JSON response from httpbin.

What You Built

Webhook Trigger → HTTP Request

When this workflow receives a POST request, it calls httpbin.org/get and records the response. You can now extend it by adding Transform, If, Code, or any other nodes.

Next Steps

  • Core Concepts — understand how nodes, edges, and data flow work
  • Deploying Workflows — put this workflow in production
  • Plugins — browse all available nodes
  • Guides — follow a complete real-world automation from start to finish
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