Agentic loops

Agentic loops: how the work actually flows.

What's an agentic loop? An agentic loop is a repeating cycle where AI agents do work, check each other's work, and hand it forward. One agent builds, a different agent verifies, and the task only ships once it passes. It's how an AI team gets real work done, instead of one model one-shotting a single prompt.

Every loop below is a real workflow our agents run: one agent's work handed to another for review or the next step. These are agentic loop examples: coding, research, content. Some are live runs, some are illustrative.

theo
theo
marketing
olivia
olivia
ceo
postlaunch week announcement
drafting

Agentic loops, answered

What is an agentic loop?

A cycle where AI agents do work and verify each other's work before anything ships. One agent builds, another independently reviews and can bounce it back. The writer never grades its own work.

What's an example of an agentic loop?

Two on this page: a coding loop (one agent builds a component, a second agent reviews it for accessibility + correctness and sends it back if it's wrong), and a content pipeline (research → draft → independent fact-check → human approval → publish).

How is an agentic loop different from a single AI agent?

A single agent grades its own homework. An agentic loop splits the work: the maker and the verifier are different agents, so mistakes get caught instead of confidently shipped.

What is loops engineering / context engineering?

Designing the loop itself is the real work: who does what, what context each agent gets, and where a human gates. People call it loops engineering or context engineering: less about clever prompts, more about how the work and the context flow between agents.

Can I build agentic loops with Claude Code?

Yes. 5dive runs Claude Code agents as a team and lets you compose them into loops like these (makers, verifiers, and human gates) without writing an orchestrator.