📖Reference: Sheets

Introduction

AI Sheets in Motion are structured tables that support bulk data entry, automation, and AI-driven operations. They provide a flexible grid for organizing information, running AI skills across rows, and integrating data into projects and workflows. This reference defines the system rules for how AI Sheets are created, structured, executed, and maintained.

At a Glance

1. Structure & Content

• Data sources & creation → How a Sheet is created (scratch, CSV, AI).

• Columns & fields → Supported column types and field formats.

• Rows & records → Adding, editing, and bulk uploading rows.

• AI skill columns → Special column type for automated AI operations.

2. Running & Control

• Execution & control → Manual vs batch runs, tracking, error recovery.

• Error handling → Schema detection, invalid uploads, error messages.

3. Access & Collaboration

• Permissions & visibility → Role-based access for creating, editing, running.

• Integrations & connections → Using external systems or skills with Sheets.

4. Constraints

• Limitations → Row count, unsupported formats, edge cases.

What You’ll Learn

By the end of this reference, you’ll understand the system rules that govern AI Sheets — including how they are created, what column and row types are supported, how AI skills run across data, and the limits for uploads, execution, and integrations.