Levity + Google Sheets
AI-Powered Data Classification in Google Sheets, Automated with Levity
Connect Levity's no-code AI to Google Sheets to automatically classify, tag, and enrich your spreadsheet data at scale.
Why integrate Levity and Google Sheets?
Levity and Google Sheets work well together for teams that live in spreadsheets but don't want to build custom machine learning models just to categorize data. Connect Levity's AI classification engine to Google Sheets, and new rows can trigger AI workflows automatically — coming back labeled, scored, and ready to use. Your spreadsheet stays familiar. It just does a lot more.
Automate & integrate Levity & Google Sheets
Use case
Automatic Customer Feedback Categorization
As survey responses or customer feedback entries land in a Google Sheet, Levity automatically classifies each one by sentiment, topic, or urgency. The AI-assigned category and confidence score are written into adjacent columns for immediate analysis. Teams can filter, prioritize, and act on feedback without reading every row.
Use case
Support Ticket Triage and Priority Labeling
When support tickets are logged into a Google Sheet from a form or CRM export, Levity classifies each one by issue type, department, and urgency level. The enriched data is written back to the sheet and can trigger routing or escalation workflows. Support managers get a real-time, categorized view of incoming requests without manual review.
Use case
Sales Lead Qualification and Scoring
Inbound lead data collected in Google Sheets — form submissions, CSV imports — can be passed to Levity to classify leads by industry, intent signals, or fit score. Results are appended back to the sheet, giving sales teams a pre-qualified, ranked list of prospects ready for outreach. Less time on dead ends, more time on real pipeline.
Use case
Content Moderation and Compliance Flagging
For teams that collect user-generated content, product reviews, or survey data in Google Sheets, Levity can scan each entry for policy violations, sensitive language, or compliance risks. Flagged rows are labeled in the sheet and can trigger alerts or escalation workflows. Compliance teams stay informed without auditing every record by hand.
Use case
Product Catalog Tagging and Attribute Enrichment
Product managers who maintain catalog data in Google Sheets can use Levity to automatically classify products by category, attribute, or audience segment based on descriptions or images. Classified tags are written back into the sheet to support feed management, SEO, or publishing workflows. Large catalogs stay organized without large teams.
Use case
Document and File Type Classification from Sheet Logs
When file metadata or document content is logged into Google Sheets — from form uploads or storage integrations — Levity can classify each document by type, topic, or department. Classification results are added back to the sheet, making routing or archiving straightforward. Teams handling large document volumes get instant, accurate organization.
Use case
Social Media and Review Sentiment Analysis
Marketing or CX teams who aggregate social mentions, app store reviews, or NPS comments into Google Sheets can use Levity to run sentiment and topic classification on every new entry. Sentiment scores and topic labels are appended directly to the sheet for reporting and trend analysis. You'll know how customers feel without reading each comment one by one.
Get started with Levity & Google Sheets integration today
Levity & Google Sheets Challenges
What challenges are there when working with Levity & Google Sheets and how will using Tray.ai help?
Challenge
Handling Large Volumes of Rows Without Hitting API Rate Limits
Google Sheets and Levity both have API rate and quota limits, which can cause failures when classifying hundreds or thousands of rows in rapid succession during batch operations.
How Tray.ai Can Help:
tray.ai's loop and throttling controls let workflows process rows in configurable batches with time delays between API calls, keeping operations within both Google Sheets and Levity rate limits. No manual intervention, no failed runs.
Challenge
Writing Classification Results Back to the Correct Row
When processing rows asynchronously or in parallel, writing each Levity classification result back to the exact originating row — rather than the wrong one — requires careful row ID and index management.
How Tray.ai Can Help:
tray.ai passes the Google Sheets row ID as a persistent variable throughout each workflow run, using it to target the precise row for updates via the Google Sheets connector's row-level operations. Mismatched writes don't happen, even in concurrent workflows.
Challenge
Triggering on Incremental Changes Without Reprocessing Old Data
Polling-based triggers on Google Sheets can reprocess already-classified rows if the trigger logic isn't carefully scoped, leading to duplicate Levity API calls and overwritten classification data.
How Tray.ai Can Help:
tray.ai's Google Sheets trigger supports filtering conditions so workflows only fire for rows where the classification column is empty or matches an unprocessed status. That prevents redundant Levity calls and keeps your existing enrichment data intact.
Challenge
Managing Levity Model Versioning Across Active Workflows
When a Levity AI model is retrained or updated, active workflows may continue calling an older model version, resulting in inconsistent classification outputs written to Google Sheets over time.
How Tray.ai Can Help:
tray.ai lets teams store Levity model IDs as configurable workflow parameters, so updating the model reference across all active workflows takes one change in one place. No rebuilding integrations from scratch.
Challenge
Structuring Unformatted or Inconsistent Input Data Before Classification
Google Sheets data collected from forms, imports, or manual entry is often inconsistent — extra whitespace, mixed case, missing values — which can hurt Levity classification accuracy if sent unprocessed.
How Tray.ai Can Help:
tray.ai's data transformation and helper functions let workflows clean, normalize, and validate text fields from Google Sheets before passing them to Levity, so the model gets well-structured input and returns reliable results.
Start using our pre-built Levity & Google Sheets templates today
Start from scratch or use one of our pre-built Levity & Google Sheets templates to quickly solve your most common use cases.
Levity & Google Sheets Templates
Find pre-built Levity & Google Sheets solutions for common use cases
Template
Classify New Google Sheets Rows with Levity AI
Automatically sends each new row added to a specified Google Sheet to a Levity AI block for classification, then writes the returned label and confidence score back into the row.
Steps:
- Trigger when a new row is added to a designated Google Sheet
- Extract relevant cell values (e.g., text, description, or URL fields) from the new row
- Send extracted data to a Levity AI classification block
- Receive the classification label and confidence score from Levity
- Update the original Google Sheets row with the AI-assigned label and score
Connectors Used: Levity, Google Sheets
Template
Batch Classify Existing Google Sheets Data with Levity
Iterates through all unclassified rows in a Google Sheet, sends each record to Levity for AI processing, and populates a dedicated classification column with results — useful for backfilling legacy data.
Steps:
- Trigger workflow on a schedule or manually via tray.ai
- Fetch all rows from the Google Sheet where the classification column is empty
- Loop through each unclassified row and send it to Levity for classification
- Write the Levity classification result back into the corresponding row
- Log a completion summary or send a notification when batch processing is done
Connectors Used: Levity, Google Sheets
Template
Flag High-Priority Levity Classifications in Google Sheets
After Levity classifies incoming data, this template filters for high-priority or flagged labels, highlights those rows in Google Sheets, and sends an alert to a designated Slack channel or email address.
Steps:
- Trigger when a new row is added to a monitored Google Sheet
- Pass row data to Levity and retrieve the classification result
- Check if the returned label meets a high-priority or flagged threshold
- If flagged, update the row with a priority marker or color-coded status
- Send a real-time alert notification with row details to the relevant team
Connectors Used: Levity, Google Sheets
Template
Sync Levity Classification Results to a Google Sheets Dashboard
Aggregates Levity classification outputs from multiple sources into a centralized Google Sheet, building a live dashboard of categorized data for reporting and trend analysis.
Steps:
- Trigger workflow when Levity completes a classification task or batch run
- Extract classification label, confidence score, source, and timestamp from Levity output
- Append a new row to a Google Sheets dashboard tab with all classification details
- Calculate or update summary statistics in a separate dashboard sheet section
- Optionally refresh a connected Google Data Studio or Looker Studio report
Connectors Used: Levity, Google Sheets
Template
Route Classified Records from Google Sheets to Downstream Tools
Uses Levity classification labels assigned in Google Sheets to route records to the right downstream system — a CRM, helpdesk, or project management tool — based on the AI-determined category.
Steps:
- Trigger when a row in Google Sheets is updated with a Levity classification label
- Read the classification label from the updated row
- Use conditional logic to determine the appropriate downstream destination
- Create or update a record in the target tool (e.g., CRM lead, helpdesk ticket) with the row data
- Update the Google Sheets row with a routing status to confirm processing
Connectors Used: Levity, Google Sheets
Template
Continuous Sentiment Monitoring Pipeline with Levity and Google Sheets
Monitors a Google Sheet for new text entries, runs each through Levity's sentiment classification model, and maintains a running sentiment log with trend indicators for ongoing brand or product monitoring.
Steps:
- Trigger when new text data (reviews, comments, responses) is added to a Google Sheet
- Send the text content to a Levity sentiment classification model
- Retrieve the sentiment label (positive, neutral, negative) and confidence score
- Append the result to a dedicated sentiment log sheet with date and source metadata
- Update a summary row tracking rolling sentiment percentages and trend direction
Connectors Used: Levity, Google Sheets