Build Your First Pipeline in 2 Minutes

This is not documentation. This is a guided mission.

Ready? Let’s go.

STEP 1: Paste This JSON

Copy this sample data:

{
  "name": "John Doe",
  "age": 32,
  "email": "john@example.com",
  "phone": "555-1234",
  "address": "123 Main St",
  "city": "Springfield",
  "state": "IL",
  "zip": "62701",
  "country": "USA",
  "createdAt": "2024-01-15",
  "updatedAt": "2024-03-20"
}

In the pipeline builder:

1. Click the Input node (it’s already there, waiting for you)
2. Paste the JSON
3. Click outside the node to close it

✅ Done! Your data is loaded.

STEP 2: Add “Filter Fields”

Look at the left sidebar — you’ll see a list of utilities.

1. Find 🔍 Filter Fields in the list
2. Drag it onto the canvas (between Input and Output nodes)
3. Release it

✨ Magic happens:

• The node auto-connects to your Input node
• A connection appears between the nodes
• No manual wiring needed — it just works

STEP 3: Configure the Filter

Click the Filter Fields node you just added.

On the right side, you’ll see configuration options. Enter these field names to keep:

name
email
phone

Click outside the node when done.

STEP 4: Run It

Click the Run control at the top of the canvas.

Watch what happens:

1. The run control switches into its running state
2. The Output node fills with results
3. You see only 3 fields: name, email, phone

🎉 YOU JUST BUILT A PIPELINE!

See What Changed

Click the Output node to see your result:

{
  "name": "John Doe",
  "email": "john@example.com",
  "phone": "555-1234"
}

You can review the transformed output directly in the output view.

🔄 Try One More (30 Seconds)

Want to see how easy it is to change things?

Click this button: [Try Rename Instead]

(This button auto-replaces the Filter node with Rename Keys and re-runs your pipeline)

See? One click. Done.

That’s the power of pipelines.

🤔 What Just Happened?

You did something powerful:

You connected nodes together on a canvas.

That’s called a PIPELINE.

A pipeline is just data flowing from one step to another. Each step does one thing well. You can see exactly what changed at each step.

You dragged a “Filter Fields” utility onto the canvas.

That’s called a STEP NODE (or UTILITY NODE).

Step nodes transform your data in specific ways. Each utility has a clear purpose. You chain them together to do complex things.

You pressed Run and saw the pipeline execute.

That’s called PIPELINE EXECUTION.

Execution is data flowing through your pipeline from start to finish. You can inspect outputs and errors step by step.

You saw the transformed result in the output view.

That’s result inspection.

The system lets you inspect the current output of a step or output node so you can confirm what the transformation produced.

What’s Next?

Now that you’ve felt the power:

Explore all utilities — 28+ built-in transformations

Learn pipeline concepts — understand how it all works

Build your own pipeline — go beyond the tutorial

Find solutions to your problems — “I want to clean messy API data”

Didn’t Work?

🎉 You’re Ready

You now know:

• ✅ How to load data into a pipeline
• ✅ How to add transformation steps
• ✅ How to run a pipeline and see results
• ✅ How to change transformations easily

That’s everything you need to start building pipelines.

Go forth and transform your data! 🚀