Multi-Agent Orchestrator
Design systems where multiple agents work together.
Routing, context handoff, task decomposition, and production architecture for systems of agents rather than a single one.
9 lessons · about 3 hours
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The honest case for and against multi-agent systems, with a five-question decision test and the cost math.
Chain, router, parallelization, orchestrator–workers, evaluator–optimizer, handoff and hierarchy — when to use each and how each fails.
Plans as data, five-part delegation briefs, effort scaling, a minimal scheduler and bounded replanning.
Hand-off contracts, passing references instead of payloads, isolation versus sharing, and validating at the boundary.
Typed state and reducers, the blackboard pattern, checkpointing, concurrency hazards and cross-run memory.
Where each protocol fits, what agent cards and tasks standardize, and how to secure cross-boundary calls.
The multi-agent failure catalogue and the guardrails — budgets, termination, boundary checks — that tame it.
A napkin cost model, the levers that cut the bill, critical-path latency and outside-in evaluation against a baseline.
A full worked design — market-research brief generator — plus a design-doc template you can reuse.