NorthFirn field guide
How to tell whether an AI workflow is worth keeping
A simple way to measure quality, staff review time, mistakes, cost, and whether an AI workflow should continue.
By NorthFirn · Published July 15, 2026
Record today's work
Measure volume, time, corrections, mistakes, and the effect of a wrong answer before the workflow changes.
Measure the complete job
Track output quality, staff review, escalation, security needs, integration work, and cost.