The original title is "AI Agents vs Automation: What's the Difference and Which Should You Use?"

Short summary

A practical guide distinguishing AI agents from traditional automation: automation follows predefined rules while agents make goal-oriented decisions using LLMs and tools. Most production systems sit on a spectrum combining scripts, AI-assisted workflows, and multi-agent systems. The recommended approach is to use the least autonomous option that completes the task, combining predictable steps with agent decisions and human approval for high-risk actions.

• •Automation = predefined rules; AI agents = goal-oriented decisions with tool use and autonomy
• •Production systems should use the least autonomous option that works, combining deterministic steps with agent decisions
• •Key trade-offs: reliability, cost, speed, security, and oversight needs differ across the spectrum

Generated with AI, which can make mistakes.