AGENT ATLASa field guide to agent workflows
Foundations · start here

Most agent systems are one of a few shapes.

Learn the shapes and you can read, design, and explain almost any workflow. This atlas maps 23 patterns — from a single agent thinking in steps, to teams that delegate, debate, and hand off. Each one carries a topology glyph, a prompt you forward to your own agent, and the part that matters most: where you, the human, stay in the loop.

The one rule

Reach for the simplest pattern that works. A workflow on fixed rails is predictable and cheap; an autonomous agent is flexible but harder to control. More agents is not better — add coordination only when a measurable problem demands it.

Workflow or agent?

Workflow

You design the path. The model fills in the steps.

  • Predefined sequence of LLM steps and tool calls.
  • Predictable, testable, easy to debug.
  • Best when the route is known up front.

Chaining · routing · sectioning · evaluator–optimizer

Agent

The model directs its own process and tools.

  • Decides what to do next, loops until done.
  • Flexible on open-ended tasks; less predictable.
  • Best when the path can't be known in advance.

ReAct · orchestrator–workers · swarm · monitoring

How to read a pattern

The glyph is the topology.Circles are agents, the diamond routes, rounded shapes are shared stores or boards, squares are tools. Indigo edges are the flow of work.
N agentsCore
Agents & level.How many agents the pattern needs, and how much machinery it takes to run well — Starter, Core, or Advanced.
Where you stay in the loop.Every pattern names the human's seat — what you own, where your judgment matters, and what should never happen without your say-so. The shape connects the agents; this is where you connect to it.
The forwardable prompt.Each pattern ends in a copy-ready brief. Fill the placeholders, paste it to your agent, and it sets the workflow up with you.
Built as a living reference — fork it, extend the taxonomy, and share it with anyone setting up their own agents.