Getting Started

What You’ll Build

In this guide, you’ll create a workflow that:

  • Receives form submissions for customer feedback

  • Uses AI to analyze the sentiment and categorize the feedback

  • Routes high-priority feedback to notify the team

  • Creates a record in your system for all feedback

This covers the essential workflow patterns you’ll use in most automations.

Prerequisites

Introduction
  • Your workspace admin enabled workflows in the workspace settings

  • Basic understanding of your use case and goals

Estimated time: 15 minutes to complete this tutorial

1

Step 1: Create a New Workflow

Navigate to the Workflows section and click Create Workflow.

  • Give your workflow a descriptive name: “Customer Feedback Processor”

  • Click Create

You’ll see a blank canvas with a starter node in the center. The starter node lets you choose how to begin your workflow. Let’s create a form trigger:

  • Click Form from the trigger options

  • The trigger node appears on the canvas

2

Configure the Form

Click on the trigger node to open the configuration panel:

  • Form Title: “Customer Feedback Form”

  • Add Form Fields:

    • Field 1: name (Text, Required) — Label: “Your Name”

    • Field 2: email (Email, Required) — Label: “Email Address”

    • Field 3: feedback (Long Text, Required) — Label: “Your Feedback”

    • Field 4: product (Dropdown, Required) — Label: “Product”

      • Options: “Mobile App”, “Web Platform”, “API”, “Other”

  • Form Settings:

    • Enable “Make this form public” to allow external submissions

  • Click Save

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Pro tip: Click the Copy URL button to get your form link. You can share this with customers or embed it on your website once you’ve deployed the workflow and made it public.

3

Step 3: Add an Agent Node

Now let’s add AI to analyze the feedback:

  • Click the + button on the trigger’s output handle (right side)

  • Select Agent from the node menu

  • The agent node appears, connected to your trigger

4

Configure the Agent

Click on the agent node and configure:

  • Name: “Analyze Feedback”

  • Agent Mode: Create new agent

  • Agent Name: “Feedback Analyzer”

  • Instructions:

  • Input: Add the feedback variable to the prompt

  • Model: Select your preferred model (e.g., GPT-4.1 or Claude Sonnet 4.5)

  • Enable Structured Output:

    • Click Add Output Field

    • Field 1: sentiment (String) — “The sentiment of the feedback”

    • Field 2: category (String) — “The category of feedback”

    • Field 3: priority (String) — “Priority level: low, medium, or high”

    • Field 4: summary (String) — “One-sentence summary of the issue”

  • Click Save

5

Test the Agent

Before continuing, test the agent node:

  • Click the play button on the trigger node

  • Fill in test data in the form that appears

  • Click Run

  • Once complete, click on the agent node

  • View the Output tab to see the analysis

You should see structured data like:

6

Step 4: Add a Condition Node

Let’s route high-priority feedback differently:

  • Click the + button on the agent node’s output

  • Select Condition

  • Name it “Check Priority”

7

Configure Conditions

  • Click Add Condition

  • Condition 1:

    • Name: “High Priority”

    • Mode: Manual

    • Expression: {{agent.output.structured.priority === "high"}}

  • Click Add Condition again

  • Condition 2:

    • Name: “Normal Priority”

    • Mode: Manual

    • Expression: {{agent.output.structured.priority != "high"}} (this catches everything else)

Each condition now has its own output handle on the right side of the node.

8

Step 5: Add Notification for High Priority

For high-priority feedback, let’s notify the team:

  • Click the + button on the “High Priority” condition handle

  • Select Send Notification

9

Configure the Notification

Prompt:

  • Click Save

10

Step 6: Add an Action Node

Now let’s save all feedback to your system. This example uses Google Sheets:

  • Click + on both condition handles (we want to save all feedback)

  • Select Google Sheets

11

Configure the Google Sheets Node

  • SpreadsheetId: Insert your spreadsheetId

  • Range: You can leave this on auto.

  • Value Input: Set to “Prompt AI” and insert the following:

  • Click Save

Google Sheets Node Configuration

Alternative: If you don’t have an API, you can use an integration action instead, like adding a row to Google Sheets or creating a Notion page.

12

Step 7: Test the Complete Workflow

Now test the entire workflow:

  • Click on the trigger node

  • Click the Test run button in the toolbar

  • Fill in the test form with sample data

  • Click Run workflow

  • Watch as each node executes in sequence

  • Click on nodes to view their inputs and outputs

Try testing with:

  • Different priority levels

  • Various types of feedback

  • Different products

Make sure both paths (high priority and normal priority) work correctly.

13

Step 8: Deploy Your Workflow

Once testing is complete, deploy the workflow to activate it:

  • Click the Deploy button in the top right

  • Choose version type: Major (new Workflow)

  • Add description: “Feedback Collection”

  • Click Deploy

Your workflow is now v1.0.0 and will process real form submissions.

14

Step 9: Share Your Form

Get the form URL to share with customers:

  • Click on the trigger node

  • Click Copy URL in the node toolbar

  • Share this URL via email, website, or support portal

Pro tip: You can embed the form in your website using an iframe or link to it from your support page.

15

Step 10: Monitor Workflow Runs

After your workflow is live, monitor its performance:

  • Go to the Runs tab at the bottom of the canvas

  • View all workflow executions

  • Click on any run to see detailed execution data for each node

  • Check the Usage section to monitor AI credit consumption

What You’ve Learned

Congratulations! You’ve built a complete workflow that demonstrates:

  • ✅ Creating form triggers to capture data

  • ✅ Using AI agents to analyze content

  • ✅ Implementing conditional logic to route execution

  • ✅ Sending notifications

  • ✅ Integrating with external systems

  • ✅ Testing and deploying workflows

Next Steps

Enhance This Workflow

Try adding:

  • A Code Node to calculate metrics or transform data

  • An Action Node to automatically create support tickets

  • Additional conditions for different priority levels

Explore Advanced Features

Cost Management — Control and optimize workflow costs

Common Questions

chevron-rightCan I edit a published workflow?hashtag

Published versions are immutable, but you can always edit the draft version (v0) and publish a new version when ready. This ensures your production workflows stay stable while you make changes.

chevron-rightWhat happens if a node fails?hashtag

By default, the workflow stops and marks the run as failed. You can configure error handling strategies for each node, including continuing on error or routing to error-handling paths.

chevron-rightHow much do workflows cost?hashtag

Workflows consume AI credits based on the models and nodes used. You can set spending limits and view detailed usage in the workflow settings. Check the Usage tab after test runs to estimate costs.

Get Help

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