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Running workflow actions

After configuring and testing your workflow actions, you can execute them directly from the workflow overview.

Running workflow actions starts the AI processing pipeline for all products matching the configured trigger rules.

Depending on the workflow setup, actions may run:

  • manually

  • continuously

  • sequentially

  • with moderation steps between actions


Before running a workflow action

Before starting a workflow action, it is strongly recommended to:

  • validate trigger rules

  • test prompts on sample products

  • review generated outputs

  • inspect confidence scores

  • confirm moderation settings

This helps prevent large scale processing errors.


How to run a workflow action

To run an action:

  1. Open the workflow overview

  2. Open the workflow

  3. Locate the action card

  4. Click the action

  5. Click Run action

The workflow will then begin processing matching products.


How workflow execution works

When an action starts:

  1. matching products are identified

  2. execution tasks are created

  3. products are processed individually

  4. moderation states are applied if enabled

  5. results become available inside the Results tab

Actions process products sequentially through the workflow pipeline.


Sequential workflow execution

Actions execute in order from left to right.

Example:

  1. Attribute Extraction

  2. Content Enrichment

  3. Translation

In this workflow:

  • attributes are extracted first

  • generated attributes become available for enrichment

  • enriched content becomes available for translation

Each action builds on the previous action’s output.


Running one-time workflows

One-time workflows process all currently matching products once.

Example:

  • all products missing descriptions

  • all products from a specific supplier

  • all products in a selected category

After execution completes, the workflow stops automatically unless manually restarted.


Running continuous workflows

Continuous workflows continuously monitor the catalog.

Whenever new products match the trigger rules:

  • the workflow starts automatically

  • actions execute automatically

  • products move through the workflow pipeline without manual intervention

This creates ongoing automation pipelines.


Monitoring execution progress

While actions are running, the workflow overview displays:

  • execution progress

  • running tasks

  • completed tasks

  • pending moderation

  • synchronization states

  • failed executions

This helps teams track workflow activity in real time.


Understanding execution statuses

Workflow actions may display statuses such as:

  • Waiting

  • Running

  • Awaiting moderation

  • Synced

  • Completed

  • Error

Statuses help identify where products currently are inside the workflow pipeline.


Results tab

Each action contains a Results tab showing:

  • processed products

  • generated outputs

  • synchronization status

  • moderation state

  • completed tasks

  • failed tasks

The Results tab provides detailed visibility into workflow execution.


Moderation during execution

Depending on the action configuration:

  • generated output may require approval

  • editors may review content

  • moderators may approve synchronization

Products can pause temporarily in moderation queues before continuing through the workflow.


AI reasoning and confidence scores

Certain actions display:

  • AI reasoning

  • confidence scoring

Reasoning explains why the AI generated specific output.

Confidence scores help identify:

  • reliable outputs

  • uncertain generations

  • products requiring manual review

This improves quality control during execution.


Synchronization behavior

Approved outputs can synchronize automatically back into your connected platform.

Examples:

  • Magento

  • webshop catalogs

  • marketplace feeds

Depending on workflow settings:

  • synchronization may happen automatically

  • synchronization may require moderation approval first


Running large workflows

Large workflows may take time depending on:

  • number of products

  • AI provider limits

  • workflow complexity

  • moderation requirements

  • selected AI model

Products are often processed individually to maintain stability and avoid provider rate limits.


Pausing running workflows

Workflows can be paused during execution.

Pausing is useful when:

  • prompts require adjustment

  • output quality needs review

  • moderation queues become too large

  • unexpected results appear

Paused workflows can later be resumed.


Common execution strategies

Batch execution

Useful for:

  • initial enrichment

  • migration projects

  • supplier onboarding

  • large cleanup operations

Typically uses one-time workflows.


Continuous automation

Useful for:

  • ongoing catalog enrichment

  • automatic translations

  • recurring quality validation

  • continuous synchronization pipelines

Typically uses continuous workflows.


Best practices for running workflows

Start with small product groups

Before processing large catalogs:

  • test on limited product sets

  • validate outputs carefully

  • inspect reasoning and scores

This reduces large scale workflow issues.


Monitor moderation queues

Large executions can generate many moderation tasks.

Regular moderation review helps:

  • maintain synchronization speed

  • improve workflow throughput

  • prevent operational bottlenecks


Separate workflows by objective

Focused workflows are easier to execute and troubleshoot.

Good examples:

  • SEO enrichment workflow

  • translation workflow

  • attribute extraction workflow

Avoid overly large multi-purpose workflows when possible.


Monitor failed executions

Failed tasks may occur because of:

  • incomplete source data

  • invalid prompts

  • synchronization issues

  • provider limitations

Regularly review failed results to improve workflow quality.


Example workflow execution

Example:
A webshop imports 500 new pet food products.

Workflow:

  1. Trigger selects products in Dry Cat Food category

  2. Attribute Extraction fills:

    • Flavor

    • Lifecycle

  3. Content Enrichment generates:

    • Shopping titles

    • Shopping descriptions

  4. Translation converts content to German

  5. Moderation reviews generated output

  6. Approved content synchronizes to Magento

The workflow overview allows the team to:

  • monitor execution progress

  • review moderation queues

  • inspect generated content

  • track synchronization states

from one centralized location.

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