AI Agents vs Traditional Automation: What's Different?

Traditional automation follows rules. AI agents understand context, learn from outcomes, and make decisions. This isn't a philosophical distinction — it's a practical one that determines whether automation works in the real world or breaks the moment conditions change.

The Core Difference

Traditional automation (Zapier, Make, rule-based workflows) works like a flowchart: if X happens, do Y. It's powerful for predictable, structured processes. But it fails the moment an edge case appears — and edge cases appear constantly in real business operations.