AI agents vs automations: when to use each

TL;DR: Use an automation for predictable, rule-based tasks ("when X happens, do Y"). Use an AI agent when the work needs judgment or has to handle the unexpected. Most powerful setups combine both.

What an automation is

An automation follows fixed rules you wire up in advance: "When a form is submitted, add a row to a spreadsheet and send a Slack message." Tools like Zapier, Make, and n8n excel here. Automations are predictable, cheap, and reliable — but they only do exactly what you defined. They can't handle anything you didn't anticipate.

What an AI agent is

An AI agent reasons and adapts. Instead of rigid if-this-then-that rules, it decides what to do based on the situation: "Read each support email, figure out what it's asking, draft a reply, and escalate anything about refunds." It uses tools and makes judgment calls — but it's less predictable and costs more per run.

When to use each

• Use an automation when the steps never change and you can describe them exactly.
• Use an agent when inputs vary, the task needs understanding, or you can't list every rule in advance.

Use them together

The best systems do both: an automation handles the reliable plumbing (triggers, moving data), and calls an agent only for the step that needs judgment. Not sure what your task needs? Take the 2-minute selector.