AI6 min read
Designing AI Agents That Think, Not Just Run
The difference between a workflow and an agent — and how to give automations real judgment.
Most automations just run: trigger, step, step, done. Agents reason: they read context, weigh options and decide the next action.
The shift happens when you give an LLM the right tools, memory and guardrails, then let it choose the path instead of hard-coding every branch.
In practice that means routing support tickets by intent, enriching leads with live research, or drafting content that matches a brand voice — all without a human in the loop.
The trick is constraint: clear roles, tight prompts and validation at every step so the agent stays reliable while still being smart.