task-decomposition

Task decomposition breaks complex goals into actionable subtasks for multi-agent workflows by specifying entry points, dependencies, and reassembly logic. It defines clear handoffs to ensure agents execute tasks sequentially, hierarchically, or in parallel.

Task decomposition strategies for agent orchestration include sequential, parallel, hierarchical, conditional, and iterative approaches. These strategies define the critical path and reassembly logic required to coordinate multiple agents into delivering a coherent outcome.

Multi-agent task decomposition handles ambiguity by applying specific design rules and artefacts during the breakdown process. It clarifies uncertain user goals into structured subtasks with defined dependencies and reassembly logic for reliable agent execution.

You need task reassembly logic for multi-agent systems when decomposing complex goals into distributed subtasks. Defining reassembly rules ensures that independently executed agent outputs and handoffs are successfully integrated into a single coherent final outcome.

Yes, you can design conditional and iterative task handoffs for agent workflows. Task decomposition supports conditional routing and iterative refinement of subtasks, ensuring dependencies and reassembly logic adapt to dynamic agent outputs.

The best way to orchestrate parallel subtasks is by applying parallel task decomposition strategies. This approach defines entry points and dependencies for simultaneous agent execution, followed by reassembly logic to merge the distributed outcomes coherently.