What does this automation do?
When a spreadsheet row is edited, a saved cleanup command normalizes it against your field rules and writes the corrected row back.
What can you do with it?
- Normalize names, dates and categories the moment a row changes
- Apply one written rule set instead of each person’s habit
- Keep the sheet clean enough to automate off
The Steps
This automation runs in 3 steps:
- When Google Sheets — Row Updated
- Then Taskade AI — Run an agent command ("Data Steward")
- Then Google Sheets — Update Row
What makes this different from a Zapier-style flow?
The "Data Steward" step is not a one-off model call. It is a Taskade AI agent that knows your field rules, naming conventions and value lists, remembers the corrections it has already made, so every run builds on the last one instead of starting from an empty prompt.
A stateless "ask the model" step forgets everything the moment it returns. An agent keeps its knowledge and its memory between runs, carries its own tools, and can be handed work by other automations.
Who is this automation for?
Built for ops teams whose spreadsheet is the system of record. When a spreadsheet row is edited, a saved cleanup command normalizes it against your field rules and writes the corrected row back.
How do you set it up?
- Open the "Automations" tab in your workspace.
- Click ➕ Add automation, then start from scratch.
- Add the trigger "Row Updated" from Google Sheets.
- Add the action "Run an agent command" from Taskade AI. Point it at an agent called "Data Steward".
- Add the action "Update Row" from Google Sheets.
- Enable the toggle in the top-right corner to activate the automation.
Prefer to describe it instead? Click Build this flow with AI above and Taskade wires the trigger, the steps, and the agent for you.