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Every time you run enrichment - manually or through an automation - Cernel creates a job that tracks the process. The Dashboard gives you real-time visibility into what’s running, what’s completed, and what needs your review.

How it works

Jobs are the backbone of enrichment tracking. When you select products and click Start Enrichment, Cernel creates a job that processes each product with the AI agents linked to your selected attributes. Jobs run in the background, so you can continue working while content generates. The Dashboard is your command center for jobs. It shows active, completed, and failed jobs with progress indicators, product thumbnails, and attribute badges.

Why you would use this

Never lose track of enrichment progress

See at a glance how many jobs are running, how far along they are, and which ones need attention.

Catch and fix issues quickly

Failed jobs show clear error indicators. Drill into specific products to see what went wrong and take action.

Running enrichment

1

Select a category and products

In the sidebar under Catalog, click on a category to view its products. Use the checkboxes to choose which products to enrich, or use the header checkbox to select all visible products.
2

Choose attributes and start

Click Enrich Products. In the enrichment modal:
  1. Review the Available Attributes (only attributes with linked agents appear)
  2. Check the attributes you want to generate (use the search box to find specific ones)
  3. Review the enabled Languages for your workspace
  4. Click Start Enrichment
The attribute count shown (e.g., “Available Attributes (5)”) only includes attributes that have an AI agent linked. If you’re missing an expected attribute, check the category’s attribute configuration.

The Dashboard

The Dashboard shows your enrichment jobs in a filterable, scrollable list. Each job appears as a card with:
  • Job title - The type and scope (e.g., “Product Enrichment | 24 products”)
  • Status badge - The current state of the job
  • Progress indicator - A circular progress bar showing percentage complete
  • Product thumbnails - Preview images of the first products in the job
  • Attribute badges - Which attributes are being generated
  • Source - Whether the job was started manually, by an automation, or by the system
  • Timestamp - When the job was created
The Dashboard showing several job cards: one 'Running' at 65% progress with product thumbnails and attribute badges, one 'Completed' showing 'Product Enrichment | 12 products', and one showing 'Review' status awaiting approval

Job statuses

StatusMeaning
PendingJob has been created and is waiting to be picked up
QueuedJob is queued in the processing pipeline
RunningAI is actively generating content for products
CompletedAll products processed successfully
Awaiting ApprovalContent generated but needs approval before syncing
FailedOne or more products encountered errors

Reviewing job results

1

Open the job

Click on a completed job card to open the review view. You’ll see a table of products processed in this job with their status and a score showing how many attributes were filled.
The job detail table showing product rows with columns for Product Name (with thumbnail), Status (Success/Review badges), Score (showing filled/total attributes ratio like 4/5), Language/Site, and attribute value columns
The score column shows how many attributes were filled by the AI out of the total. Color coding helps you spot issues: green (80%+), yellow (50-79%), red (below 50%).
2

Review individual products

Click Review on any product row to open the product drawer. This shows:
  • Product info - Name, images, and metadata on the left
  • Generated values - AI-generated attribute values in the center, each with a source badge
  • Review status - Whether the product is awaiting approval or already approved
You can edit values inline, view the Agent Reasoning for each generated value, and approve or reject individual results.
The product review drawer showing a three-column layout: product image and name on the left, generated attribute values (Meta Title, Description, Materials) in the center with AI Enriched badges, and a 'Review and apply' button on the right
3

Navigate between products

Use the navigation dots at the top of the drawer to move between products in the job. Each dot shows whether the product has been reviewed (green) or is still pending (gray).
Once you’ve reviewed all products, approved content is ready to sync to your connected integrations.

Understanding value sources

Every attribute value carries a source so you can tell where the data came from. In the product table, hover over an attribute value to open its details popover. The source appears there alongside the value, with a label and icon:
SourceIconMeaning
AI EnrichedSparkleGenerated by an AI agent during enrichment
IntegrationPlugImported from a connected integration like Shopify
Manual InputUserEntered or edited manually by a user. When a teammate edited the value, their email is shown below.

Advanced configuration

The Dashboard supports filtering by date range, status, and search terms. Use the tabs to switch between Recent jobs and All active jobs. The search box lets you find specific jobs by name or product.
The score column in the job table shows the ratio of attributes successfully filled by AI versus the total number of attributes. This gives you a quick quality indicator:
  • Green (80%+) - Most attributes filled successfully
  • Yellow (50-79%) - Some attributes missing, worth investigating
  • Red (below 50%) - Significant issues, check agent configuration
If your organization has multiple languages enabled, jobs process content for each configured language. You can filter the job table by language and site to focus on specific locale results.

Frequently asked questions

Check the job card on the Dashboard for a status indicator. Common causes:
  1. Agent configuration issue: the linked agent’s prompt may be empty or invalid
  2. Missing dependencies: a required attribute dependency isn’t enriched yet
  3. API error: a temporary issue with the AI provider
Click on the failed job to see which specific products encountered errors.
Not directly. Instead, go back to the product table, select the products that failed, and start a new enrichment. Check the agent configuration first to fix whatever caused the failure.
Deleted products still appear in the job review with a banner indicating the product has been removed from your store. The generated values are preserved for reference but can no longer be synced.
If you have Approve Before Push enabled in Settings > Platform, generated content must be explicitly approved before it syncs to your connected integrations. Products in “Awaiting Approval” status have generated content that hasn’t been approved yet.
Yes. Cernel supports multi-language enrichment. The enrichment modal shows your enabled languages, and AI generates content in each configured language. You can manage languages in Settings > Languages.
Use the product table’s filtering to find products with empty attribute values. Select those products and run enrichment on just the missing attributes. The filter bar lets you filter by attribute status and other product properties.
Most products finish in under a minute. Text attributes are the quickest, while attributes that generate images or pull in external data can take a few minutes per product.Adding more attributes does not make enrichment slower. Cernel works on all selected attributes for a product at the same time, so the total wait is only as long as the slowest one.Small batches typically complete in seconds. Larger runs across hundreds of products may take several minutes. If you have multiple jobs running at once, they may take a little longer as Cernel shares capacity fairly across your workspace.
Jobs remain visible on the Dashboard and can be filtered and searched. Recent jobs appear on the main view, and you can use View all activity to see your full job history.

What’s next

AI Agents

Create and refine agents to improve the quality of your enrichment output.

Automations

Set up automatic enrichment for new products so you don’t have to trigger jobs manually.