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Traceability

Designing traceable AI image workflows

A traceable workflow is one where every step can be reconnected to the image it started from.

Abstract cover image: translucent glass panes over a faint violet cell form with thin red contour lines.

Start at intake

The most useful traceability work happens before any analysis. When an image enters a workflow, the properties that describe it — filename, format, dimensions, size and the moment it arrived — are still unambiguous.

Recording those properties at intake, together with a trace identifier, means later steps never have to guess which image they refer to.

Carry the identifier forward

A trace identifier is only useful if it survives the workflow. Technical checks, review notes and exports should all carry it, so a result can always be walked back to its origin.

  • Attach the identifier at intake, not at output
  • Include it in anything exported from the workflow
  • Keep timestamps alongside it so ordering is recoverable

Design for review, not just for output

Research workflows are read as often as they are run. Interfaces that display metadata and trace information alongside the image make review a normal part of the work rather than a separate reconstruction exercise.

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