task file · MethodKit with Competencies
Shared ground
Evaluate
to understand what worked well or badly
AI assists strongly, but a person stays in the loop, accountable for the judgment call.
Models assess against criteria fast. Setting the criteria, and owning the judgment, is the human part.
the evidence: most real ai use augments, it does not replace →
Fields where it gains leverage
// where this task gets more valuable as routine work gets cheaper
Skills that shield it
// future skills that keep a person valuable around this task
AI literacy
understand how ai would affect us, for better or worse
Attention to details
seeing the small bits & pieces
Cause & effect
understanding & defining symptoms & underlying problems
Critical thinking
reasoning independently, informed by evidence
Data
collecting, interpreting & processing of stats & info
Professions built on it
// job titles whose weekly mix features evaluate