Multi-Agent System.

The reason for splitting up is rarely elegance; it is usually a concrete limit. A single agent asked to research, write, review and publish fills its context window with intermediate results the next step no longer needs, and loses precision along the way. Distribute the steps across several agents and each gets its own tidy window and one clear job. Parallelism comes on top: five independent research threads run at the same time instead of one after another, which is the biggest tangible gain in time-critical workflows.

A small number of patterns have established themselves in practice. The most common is orchestrator-and-worker: a coordinating agent breaks the brief apart, hands sub-tasks to specialised agents and assembles their results. In a pipeline, each step passes its output to the next — research, then draft, then editing. In the reviewer pattern one agent produces, a second critiques against a checklist, and only then is the work revised. That is effective mainly because an agent with a pure review brief finds mistakes the writing agent systematically overlooks.

The costs are routinely underestimated. Every agent brings its own context, so token consumption can rise to a multiple of a single call. Errors propagate: a wrong assumption made during research is not questioned by the agents downstream but built upon. And debugging becomes hard, because a poor result first requires working out which agent caused it. The sensible order is therefore to start with one agent and good tools, and to split only when you can name the limit you have actually hit.

One use case has proven itself in practice: content production in three roles. The first agent researches and gathers evidence with sources, the second writes a draft from it, the third checks exclusively against a list of facts and flags every claim without support. Sign-off stays with a human — not as a concession, but because responsibility for published statements cannot be delegated. The benefit lies less in speed than in the separation of roles: the reviewing agent has no stake in liking the text.