Data Structure

In Autom8 AI, all data passed between nodes is structured as an array of items, where each item is typically an object containing a json or binary key.

This structure allows nodes to process multiple items efficiently—whether you're working with text, structured objects, or files.

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Basic Format

Each item in the workflow looks like this:

jsonCopyEdit[
  {
    "json": {
      "exampleField": "value",
      "nestedField": {
        "key": 123
      }
    },
    "binary": {
      "file-example": {
        "data": "BASE64_ENCODED_DATA",
        "mimeType": "image/png",
        "fileExtension": "png",
        "fileName": "example.png"
      }
    }
  }
]

• Use the json key for structured data

• Use the binary key when passing files or binary content

• Items are always wrapped in an array, even if there's just one

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Simplified Input in Code Nodes

When using Code or Function nodes:

• You don’t need to manually wrap your output in an array—Autom8 AI does this for you

• It also adds the json key automatically if it's missing

This only applies to Code/Function nodes. When building custom nodes, you’ll still need to return correctly structured data.

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Multi-Item Processing

Autom8 AI nodes are designed to work on multiple items at once. For example, if you're creating Trello cards from incoming data:

jsonCopyEdit[
  { "name-input-value": "Task 1" },
  { "name-input-value": "Task 2" }
]

The node will:

• Read each item

• Pull the name-input-value for each

• Create one card per item with its respective name

This approach makes Autom8 AI highly scalable and flexible for bulk operations.