Human-in-the-loop AI: Definition and Examples

Human-in-the-loop AI

Human-in-the-loop AI keeps a person involved in an automated workflow at the points that matter. The AI does the work, but a human reviews or approves specific decisions before they take effect. In a business context, that usually means approving spend, publishing, or customer communication while letting the AI handle everything around those steps.

What human-in-the-loop means

Human-in-the-loop means the AI executes, but a person approves or corrects key decisions. It is the middle ground between manual work and full automation.

Where checkpoints belong

Good checkpoints sit on actions that are expensive or hard to reverse: spending money, going live, and sending to customers. Routine, low-risk steps can run automatically.

How EzCoder uses it

EzCoder puts approval checkpoints on spending, going live, and sending. Agents build, deploy, and operate, you approve the moves that matter, and a timestamped activity history records what ran and when.

Autonomous business software AI app builder

What human-in-the-loop means

Where checkpoints belong

How EzCoder uses it

See it in action