Manual Control Mode

A state where the user maintains direct oversight and decision-making authority over AI systems, preventing uncontrolled automation. Essential for mitigating AI hallucinations, ethical risks, and loss of agency.

Key Integration: Jeff Su’s “Cockpit Rule

  • Mental model for AI delegation: Determines when to delegate (AI handles routine tasks), collaborate (AI augments human judgment), or avoid AI entirely (high-stakes decisions requiring human nuance).
  • Directly enables Manual Control Mode: Prevents over-reliance on AI by maintaining human-in-the-loop decision points.
  • Baseline expectation: “Using AI” is now table stakes (like Word proficiency); Manual Control Mode separates practitioners who own AI from those controlled by it.
  • AI Autonomy: Opposite state where AI operates without human oversight.
  • prompt-engineering: Baseline skill now required but insufficient without Manual Control.
  • AI Governance Framework: Structured implementation of Manual Control Mode principles.

Backlinked from: 2026 04 14 AI framework skills Jeff Su Channel