Data
Data is the core of every workflow in Autom8 AI—it's what flows through nodes, triggers actions, and drives logic.
For simple workflows, you don’t need deep knowledge of how data is structured. But if you're building advanced flows, writing code, or creating custom nodes, understanding how data is handled becomes essential.
Why Data Matters
A solid understanding of data helps when you:
Build custom or advanced nodes
Write dynamic expressions or conditional logic
Use coding nodes like Function or Function Item
Manipulate or transform inputs before sending them to other systems
What This Section Covers
Data structure: How Autom8 AI organizes data in items and fields
Data flow: How data moves between nodes
Transforming data: Using built-in nodes to modify or reshape data
Using code: Writing JavaScript or Python to process data
Pinning/editing data: Freezing and editing node outputs during workflow development
Item linking: How data items stay related across branches or merged paths
Data Transformation Nodes
Autom8 AI offers built-in tools to help reshape and manage data:
Aggregate: Combine multiple items into one
Limit: Restrict output to a set number of items
Remove Duplicates: Clean up repeated data entries
Sort: Order or randomly shuffle items
Split Out: Break list-type data into separate items
Summarize: Group data for summary insights, similar to pivot tables
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