60 Days of Production AI Systems · chapter 8 of 10
Multi-Agent Design Patterns
Hierarchies, dispatch, pipelines, peers, shared state and debate, with the failure modes of each.
6 of 6 published
Chapter guide · 6 min readSix ways to wire agents together, and the same three things break every timeThe whole chapter in one read. Then go part by part below.- 01
Day 43 · Explainer · 1 min read
When hierarchy helps multi-agent work scale
Why hierarchy helps when work has real layers of authority and responsibility.
On the map: Agent - 02
Day 44 · Explainer · 2 min read
Why dynamic dispatch needs ownership rules
Why dynamic dispatch needs visible routing decisions and clear final ownership.
On the map: Agent - 03
Day 45 · Explainer · 1 min read
Why pipelines make AI handoffs inspectable
Why predictable AI workflows often benefit from pipeline structure before agent autonomy.
On the map: Agent - 04
Day 46 · Explainer · 1 min read
Why peer agents need protocols, not vibes
Why peer agents need communication rules, round limits, and a final decision owner.
On the map: Agent - 05
Day 47 · Explainer · 1 min read
Why shared state needs structure and attribution
Why shared state needs structure, attribution, and versioning to stay debuggable.
On the map: Memory - 06
Day 48 · Explainer · 2 min read
Why AI debate needs a reliable judge
Why AI debate is only useful when the judge has reliable criteria.
On the map: Agent