AI web development · Glossary
Agentic workflow
Last updated June 29, 2026 · by Tal Gerafi
An agentic workflow is a multi-step process where one or more AI agents plan, act, use tools, and check their own results in a loop — often split across specialized subagents — to complete a larger task.
An agentic workflow is what you get when you stop asking an AI for a single answer and start orchestrating it across steps. The work is decomposed: plan, act, check, adjust — sometimes by one agent looping, sometimes by several specialized agents handing off to each other.
How it works
A larger task is split into stages, and each stage may run as its own focused AI agent with a clean context window. One agent researches, another builds, another reviews. Splitting the work keeps each agent sharp — a focused subagent outperforms one trying to hold the entire project at once — and lets independent steps run in parallel.
Why it matters for B2B sites
Real website work — research, content, build, SEO, QA, launch — is naturally multi-step, which makes it a perfect fit for an agentic workflow. The structure is where the quality comes from: clear stages, the right context per stage, and a human-in-the-loop checkpoint before shipping. Greeto runs its builds as exactly this kind of workflow — a small team of agents, each owning one step — detailed in Building websites with Claude Code.