Chapter A · 8 pages · ~116 min

What AI can and can't do

Build a practical capability map that separates useful pattern work from unsupported authority, then choose human checks and boundaries for real tasks.

What you will be able to do

  • Explain AI capabilities as task-specific and conditional rather than magical
  • Identify strong uses in drafting, transformation, classification, and pattern finding
  • Recognize limits involving truth, lived understanding, accountability, and future prediction
  • Decompose mixed tasks into suitable AI steps and human-owned decisions
  • Evaluate capability claims with evidence, representative tests, and risk-aware oversight

Lessons in this topic

  1. 01Capability is task-specific14m
  2. 02Strong at pattern work15m
  3. 03Truth and current knowledge16m
  4. 04Feelings, intent, and understanding13m
  5. 05Prediction is not destiny14m
  6. 06Split the task between AI and people15m
  7. 07Test a capability claim16m
  8. 08Mastery check: build a boundary map13m