Teaching AI Agents by Example: A New Paradigm in Automation

For decades, we've taught computers through explicit instructions. Write code. Define selectors. Handle every edge case. But what if we could teach AI agents the same way we teach humans—by showing them what to do? The Problem with Traditional Automation Traditional browser automation relies on brittle selectors and rigid scripts. When a website updates its CSS classes, your automation breaks. When a button moves, your script fails. You're not describing what you want done—you're prescribing exactly how to do it. This creates a maintenance nightmare. Every UI change requires code updates. Every new workflow demands engineering time. Domain experts who know the work can't automate it without developer help. Teaching by Example What if you could simply record yourself performing a task and have an AI extract workflows and generate SKILL.md files that describe: Goals : What the agent should accomplish Workflows : Step-by-step execution plans Context : How to identify UI elements without b