What Is Inside a Multi-Agent System
Coordination is the hard part of a multi-agent build. Here is how the task is split, how the supervisor manages the handoffs, and how each agent's work stays visible.
From a complex task to a coordinated chain of agents
The task is split before a single agent is built
We map the complex task into its distinct parts, define what goes into each part and what comes out, and agree the order of work with your team. This design step is what makes the resulting system predictable, rather than a set of agents improvising a division of labour at run time.
- The task mapped into distinct, testable parts.
- Inputs and outputs defined for every part.
- Order of work agreed before any agent is built.
One agent keeps the whole chain honest
The supervisor agent decides which specialist runs next, checks that each handoff meets the expected structure, and halts the chain the moment a result looks wrong. It is the single point that understands the whole task, even though no single agent does all of it.
- Sequencing and dependency management across agents.
- Structural checks on every handoff between agents.
- Chain halted automatically on a failed or weak result.
See exactly which agent produced what
Every agent's inputs, actions and outputs are logged separately, tagged to that agent and that run. If the final result is wrong, you can trace it back through the chain to the specific agent and step responsible, instead of treating the whole system as one opaque block.
- Separate logs per agent, per run.
- End-to-end trace from final output back to source step.
- Clear attribution when a result needs correcting.
Everything the multi-agent build includes
Task decomposition map
A written breakdown of the task into agent responsibilities, agreed with your team upfront.
Specialist agent builds
Each agent built and tested narrowly for its one part of the task.
Structured handoffs
Defined data formats passed between agents instead of loose, unchecked free text.
Failure detection
Automatic detection of a weak or failed step, halting the chain before it propagates.
Per-agent run logs
A separate, searchable log for every agent's contribution to every run.
Human review checkpoint
A final review point where a person checks the assembled result before it is used.
Map Your Task Into a Multi-Agent Build
Book a free consultation. We will help you break the task down and decide which parts deserve their own agent.
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