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The Join Paths node reconnects multiple conditional paths in your workflow back into a single path. When you use If-Else, Router or Error Shield nodes that create branching logic, Join Paths eliminates the need for duplicate nodes by merging the paths back together.

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Overview

Think of Join Paths as a merge point in your workflow. After your workflow splits into different branches based on conditions, Join Paths brings the active branch back to continue processing through the same set of nodes.

Eliminate Duplicate Nodes

No need to repeat the same nodes in each conditional branch

Cleaner Workflows

Maintain single processing paths after conditions

Better Maintenance

Update one set of nodes instead of multiple copies

Resource Efficiency

Reduce redundant operations and simplify logic

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How It Works

Join Paths takes multiple input connections but only one path is active during runtime. The active path (determined by your conditional logic) workflows through Join Paths and continues to the next node.
Join Paths reconnecting success and error paths from Error Shield
Key Concept: Only the executed branch passes data through Join Paths. Non-executed paths are pruned (stopped) at the conditional node, so Join Paths never has to merge conflicting data.

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Configuration

Connect the first potential execution path. This can be any data type (text, list, object, etc.)
Connect the second potential execution path. Must match the data type of Input 1 to ensure consistency
Add more input connections for complex branching scenarios with 3+ conditional paths. Click the ”+” button to add additional inputs.Example: Processing Google Docs, PDFs, or websites requires 3 inputs on Join Paths

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Output

Data from Executed Branch: Join Paths outputs whatever data comes from the active pathType Preservation: The original data type is maintained (if Input 1 sends text, output is text)No Merging: Join Paths does NOT combine data from multiple paths - only the active path workflows through

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When to Use Join Paths

If-Else / Router Conditionals

Reconnect true/false branches after conditional logic

Error Shield Patterns

Merge success and error paths to continue workflow

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Why Join Paths Matters

Without Join Paths, you’re forced to duplicate nodes after every conditional split: Using Join Paths eliminates duplication by merging paths back together:

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Example Workflows

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Example: If-Else with Join Paths

Scenario: Processing content from either Google Docs or websites Try it yourself: View and clone this example workflow
1

Receive URL Input

User provides a URL that could be either a Google Doc or a regular website
2

Check Document Type

If-Else node determines if the URL is a Google Doc link
3

Extract Content Appropriately

  • True path: Use Google Docs integration to extract content
  • False path: Use Website Scraper to get content
4

Merge Paths

Join Paths combines both extraction methods into a single continuation point
5

Process Uniformly

Single Summarize node handles content from either source
Without Join Paths, you’d need two separate Summarize nodes - one after the Google Doc extraction and one after the website scraping. With Join Paths, you only maintain one Summarize node.

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Example: Error Shield with Join Paths

Scenario: Web scraping with error handling and result logging Try it yourself: View and clone this example workflow
1

Protect Scraping Operation

Wrap Website Scraper in Error Shield to catch failures
2

Handle Success Path

Successfully scraped content workflows directly to Join Paths
3

Handle Error Path

Failed scrapes trigger error path, which creates a fallback message like “Site Unavailable”
4

Merge Results

Join Paths ensures both successful scrapes and error messages continue to the next step
5

Log All Results

Single “Write to Sheet” node logs both successful and failed attempts
This pattern is essential for Error Shield usage when the node is NOT in Loop Mode. Without Join Paths, the error path becomes a dead end and the workflow stops.

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Example: Multi-Source Content Processor

Scenario: Handling different document types (Google Docs, PDFs, websites) Try it yourself: View and clone this example workflow
1

First Conditional Check

Check if input is a Google Doc URL
2

Second Conditional Check

If not a Google Doc, check if it’s a PDF
3

Three Processing Paths

  • Google Doc: Use Docs integration
  • PDF: Use PDF extraction
  • Website: Use web scraper
4

Merge All Paths

Join Paths with 3 inputs consolidates all document types
5

Unified Processing

Single Summarize node processes content regardless of original format
Note: When using multiple conditional checks, add additional inputs to Join Paths by clicking the ”+” button. This example requires 3 input connections.

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Loop Mode Limitations

Join Paths does NOT support Loop Mode. Here’s why and what to do instead.

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Why No Loop Mode?

Join Paths is designed for single-path execution where only one branch is active at a time. Loop Mode processes multiple items concurrently, which would create ambiguity:
  • Which path’s data should continue when multiple branches are active simultaneously?
  • How should Join Paths handle item 1 taking the success path while item 2 takes the error path?
  • What happens to synchronization between different loop iterations?
This limitation ensures predictable and reliable workflow execution.

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Solution: Use Subflows

If you need to process multiple items with conditional logic:
1

Create a Subflow

Build your conditional logic and Join Paths inside a subflow that handles a single item
2

Test with Single Input

Verify the subflow works correctly with one item
3

Enable Loop Mode on Subflow

In your main workflow, enable Loop Mode on the subflow node itself (not on nodes inside the subflow)
4

Pass in List

Connect a list of items to the subflow, which will process each item through the conditional logic independently
Example Pattern:
This approach maintains the benefits of Join Paths while efficiently processing multiple items. Each loop iteration runs the full conditional logic independently.

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Best Practices

Whenever you create a branching condition (If-Else, Error Shield, Router), consider if the paths need to reunite for common processing. If yes, use Join Paths.
Ensure all potential paths output the same data type to Join Paths:
  • If one path outputs text, all paths should output text
  • If one path outputs a list, all paths should output lists
Why? The next node after Join Paths expects a consistent data type.
When Error Shield wraps a node that’s NOT in Loop Mode, always use Join Paths to:
  • Prevent error paths from becoming dead ends
  • Allow workflow to continue after error handling
  • Enable unified logging of both success and failure cases
Add clear labels to your conditional branches so you can easily identify which path data came from during debugging.
Before connecting Join Paths:
  1. Test each conditional branch separately
  2. Verify each path produces the expected output type
  3. Then connect Join Paths and test the full workflow
Don’t try to use Join Paths directly in Loop Mode. Instead:
  • Create a subflow with conditional logic + Join Paths
  • Use Loop Mode on the subflow itself
  • Process lists efficiently while maintaining clean conditional logic

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Additional Resources

Error Shield Documentation

Learn how to use Error Shield with Join Paths

Subflows Guide

Use Join Paths with Loop Mode via subflows

Router Node

Advanced multi-path routing for 3+ conditions