For tasks too complex for a single prompt, we build multi-agent systems with LangGraph: orchestrators, specialised workers, human-in-the-loop checkpoints, and state machines that run reliably.
When do we need multi-agent orchestration instead of a single AI agent?
When a task has genuinely distinct sub-tasks that benefit from specialisation — one agent researches, one drafts, one reviews — or needs long-running state across many steps. For simpler tasks, a single well-scoped agent is usually enough.
Can a human step in and approve or redirect the workflow mid-run?
Yes — LangGraph's checkpointing lets us pause a workflow at defined points for human review or approval before it continues.
What happens if the workflow fails partway through a long-running task?
We build with checkpointing and resumability, so a failure resumes from the last successful step instead of restarting the entire workflow.
