The Shift from Code to Demonstration
We've been teaching computers the wrong way. For decades, we've been writing explicit instructions—line after line of code—telling machines exactly what to do. But humans don't learn this way, and increasingly, AI agents don't need to either.
The Problem with Instruction-Based Learning
Traditional programming requires precise specifications, brittle selectors, and domain expertise. The result? We spend more time maintaining automation than benefiting from it.
Learning by Demonstration
Consider how you'd teach a new employee: You wouldn't give them a 50-page API specification. You'd simply show them how to do it.
The Demonstration Pipeline
Modern AI makes this possible:
- Computer Vision identifies UI elements by appearance and context
- Large Language Models understand intent behind actions
- SKILL.md captures workflows in human and machine-readable format
Try It Yourself
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