Share Workflows

How to Share a Workflow

Once you’ve created or modified a workflow that you’d like to share with others, follow these simple steps:

Step 1: Run the Workflow

Execute the workflow to ensure it’s working as intended before sharing it.

Step 2: Click the “SHARE WORKFLOW” Button

After running the workflow, locate the workflow action buttons at the top of the interface. You’ll see the dark “SHARE WORKFLOW” button next to the yellow “DOWNLOAD” button.

Important: Open Vandalizer First

⚠️ Important: The recipient must have Vandalizer already open in their browser before clicking the shared workflow link. If they click the link without having Vandalizer open, the link may not work correctly.

Additionally, shared workflow links may interact with institutional firewalls and security infrastructure. If you experience issues accessing or using shared workflow links, consult with your institution’s IT department for any necessary firewall or security policy adjustments.

Step 5: Recipient Opens the Workflow

When the recipient clicks the shared link (with Vandalizer already open), the workflow will automatically load into their workspace with all the same configuration and settings you created.


Important Notes About Shared Workflows

Sharing Workflow ≠ Sharing Output

When you share a workflow link, you are sharing only the workflow configuration and process, not the output or results. The recipient receives an empty workflow with the same structure and settings you created, and they must process their own documents to generate their own results. Previous outputs from your processing are not included in the shared workflow.

AI Output Variance

Since Vandalizer uses generative AI, it’s important to understand that even when two people use the exact same workflow on the same document, the output may vary slightly. This is a natural characteristic of how generative AI models work—they produce different responses based on probabilistic processes, even with identical inputs and settings.

To mitigate output variance and ensure consistency: - Use re-usable workflows: By standardizing workflows across your team, you establish a consistent process that reduces variability - Document your workflows: Shared workflows serve as executable documentation of your exact methodology - Test across documents: Run workflows on multiple documents and review results to understand the range of variation - Iterate and refine: Use multiple runs to identify the most reliable workflow configurations for your use cases

Standardized, shared workflows help your team work more consistently despite the inherent variability of generative AI.


Benefits of Shared Workflows

  • Consistency: All users follow the same documented process
  • Efficiency: No need to recreate workflows—use proven, tested versions
  • Collaboration: Share improvements and refinements across your team
  • Training: New team members can quickly adopt established workflows
  • Documentation: Workflows serve as executable documentation of your processes

Share Your Workflow

When you’re ready to start sharing your workflow please share it with us! Email the link to ai4ra@uidaho.edu.