AI Editorial: Agentic Workflow

When AI moves from suggestion to constrained execution.

An agentic workflow is not about letting a model run unchecked. It is about splitting work into explicit steps: explore, propose, execute, verify. That structure keeps AI useful without making it opaque.

The main benefit is not raw speed. The main benefit is consistency. When tasks follow the same frame, output quality becomes predictable: fewer omissions, fewer late fixes, and better-documented decisions.

To make this work, you need guardrails: strict typing, baseline tests, and human review on high-impact changes. The agent prepares the path, and the developer remains the decision-maker.