Why the context matters more than the prompt.
A useful operational answer needs the right records, revisions, and business scope—not just a better-worded question.
Practical guides to context, evaluation, and workflow design for teams exploring AI in complex physical operations.
A useful operational answer needs the right records, revisions, and business scope—not just a better-worded question.
Evaluate the full path from input to handoff, including the difficult cases that a polished demo can hide.
How to retain the issue, evidence, owner, and approval when a long conversation becomes operational work.
You don’t need every system connected to begin. A small collection of representative records is often a better way to define a meaningful first workflow.
Who handles it today, how often it occurs, and what decision or handoff it should improve.
A few appropriately shareable examples of notes, procedures, logs, images, or reports.
What AI may suggest, what a person must approve, and what should stay outside scope.
What the team would need to see to judge the output correct, useful, and safe to hand over.