Teaching AI Agents by Example, Not Code

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 — Every edge case must be anticipated Brittle selectors — CSS classes and DOM paths that break on every UI update Domain expertise — Only developers can create automation Maintenance burden — Constant updates as target systems evolve The result? We spend more time maintaining automation than benefiting from it. Learning by Demonstration Consider how you'd teach a new employee to use your internal CRM: You wouldn't give them a 50-page API specification You wouldn't make them memorize CSS selectors You'd simply show them how to do it You'd walk them through: Log in here Click this button Fill out these fields Subm