AI web development · Glossary
Human-in-the-loop
Last updated June 29, 2026 · by Tal Gerafi
Human-in-the-loop is a workflow where a person reviews and approves an AI system's output before it takes effect, keeping a human accountable for every consequential decision the AI proposes.
Human-in-the-loop names the safety pattern at the center of responsible AI work: a person stays in the decision path. The AI proposes; a human reviews, approves, or corrects before anything real happens.
How it works
You place an explicit checkpoint between the AI's output and its effect. For a coding agent, that's an engineer reading the diff before it deploys. The review can be light for low-stakes work and strict for high-stakes work, but the principle holds: a human is accountable for consequential changes, not the model.
Why it matters for B2B sites
AI agents are fast and occasionally, confidently wrong. The mistakes that matter — a broken page, a false claim, a wrong redirect — are usually caught by a person reading the change, not by the model noticing on its own. Keeping a human in the loop is what lets a studio move at AI speed without lowering the quality bar. It's a non-negotiable gate in Greeto's process, described in Building websites with Claude Code.