task file · MethodKit with Competencies
Shared ground
Improve
to make things better
AI assists strongly, but a person stays in the loop, accountable for the judgment call.
Models suggest endless refinements. Knowing which improvement actually matters to the people involved is judgment.
the evidence: most real ai use augments, it does not replace →
Fields where this task is under pressure
// dossiers that list improve among the work AI now does well
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
Failure
learning to deal with & learn from failure
Learn & unlearn
learning but also knowing how to forget the obsolete
Process
understanding & tweaking the way in which you do things
Systems thinking
seeing patterns & creating models to handle complexity
AI literacy
understand how ai would affect us, for better or worse
Professions built on it
// job titles whose weekly mix features improve