AI Fluency Framework Foundations
← Hoch {lessons}
{lesson} 11AI Fluency Framework Foundations

Study Notes

wab

wab — yIlaD.

{study notes}
  • {Description} - qapla'! SuvwI'pu' neH pagh. Qapla'! Product, Process, Performance - wa'DIch, cha'DIch, wej'DIch. Specificity, guidance, collaboration expectations - Hoch necessary.
  • Product {Description} - nuq SoH neH? Format, style, length, detail - Hoch clear. Output requirements - precise be'chugh, success guaranteed.
  • Process {Description} - ghaH paghbe'chugh method? Framework, steps, approach - specify. Claude's thinking path - guide necessary.
  • Performance {Description} - behavior expectations - define! Concise or detailed? Challenging or supportive? Analysis or ideas? Collaboration tone - establish.
  • {Discernment} - evaluate! Product quality, process approach, performance behavior - assess all three. Output itself, method used, engagement style - judge warrior-like.
  • Refinement cycle - feedback provide, description adjust, iterations continue. Your expertise integrate - final decision yours. Responsibility - accept!
  • Patterns recognition - which descriptions produce best results? Description vs. {Discernment} - which requires more effort? Plan vs. execution - compare! Adjustments made - document.
  • Next: {Diligence} - ethics, safety, responsibility, transparency, accountability - final competency. AI collaboration - responsible be!
{flashcards} 9 {cards}
{question}
yI'ang · ←/→
{answer}
{flip}
Anki (.tsv) ↓
{knowledge check} 6 {questions}