Agents work best when the workflow has edges

Open-ended agents create open-ended risk

An AI agent sounds powerful because it can choose steps. In practice, the best agents work inside a carefully shaped workflow. They need a defined input, allowed tools, permission limits, checkpoints and a clear stop condition.

If those edges are missing, the agent can spend time searching, rewriting, calling tools or producing confident but unverified summaries. A bounded agent is less magical and more useful.

The agent design checklist

What makes an agent reliable

Reliability comes from smaller decisions. Use retrieval for facts, tool logs for actions, structured outputs for handoffs and human approval for irreversible steps. That is the practical version of agent automation.