23. Skill Evolution: Turning Experience Into Capability

The next step was skill evolution.

If AI produces a good output, the system should learn why it was good.

If the human repeatedly corrects AI in the same way, the system should learn the correction.

If an AI output fails, the system should learn the anti-pattern.

This led to the distinction:

Human Skill
AI Skill

Human Skill

A human-readable capability.

It explains how a person performs, reviews or governs work.

AI Skill

An agent-readable instruction.

It explains how an AI agent should perform a task within boundaries.

AIFC insists that critical AI skills should have corresponding human skills.

Otherwise, capability moves into AI only.

That creates dependency.

The key principle:

Human skills anchor capability. AI skills accelerate capability. Both must remain connected.

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