Two core factories supported
Digital Factories
AI factories for batch tasks and visual outputs
Background
Digital factories provide upload, parameters, task queues, output queues, model status, and logs for product images, video QA, and other complex workflows.
Problem
Complex batch work cannot rely on chat only; users need parameters, concurrency, item-level review, and package delivery.
Value
Turns AI capability into an operable production line where teams can see progress, outputs, and problems.
Architecture
Factory templates define inputs, parameters, model slots, tool nodes, output item types, status edits, and downloads.