I have been testing a Google Sheets workflow for repeatable content and enrichment tasks, and wanted to share a pattern that may be useful for other Workspace users.

Use cases that worked well for me:

• bulk SEO metadata generation for many landing pages
• lead enrichment / classifying rows in Sheets
• translating or rewriting spreadsheet content in bulk
• turning spreadsheet rows into repeatable content operations

What I like about this approach is that the spreadsheet becomes the control layer: prompts, source data, review columns, and outputs all stay visible to the team.

A practical setup I found useful:

1. keep one row per entity/page/lead
2. separate raw input columns from AI output columns
3. add validation/review columns so humans can approve before export
4. use the same sheet to iterate prompts at scale instead of testing one item at a time

If anyone here is working on similar Workspace automations, I would love to compare workflows.

I wrote up the product page and examples here in case it helps: https://docgpt.ai/gpt-for-sheets

Would also be interested in how people are combining Sheets + Docs/Gmail/Drive CLI workflows around this.