Six core patterns of multi-agent workflow (Supervisor / Sequential / Hierarchical / Network / Swarm / Map-Reduce), grounded in primary sources from LangGraph, CrewAI, OpenAI, and Anthropic. Each pattern's topology and fit, plus a decision framework for production.
A phased view of how a Korean financial marketing pipeline (briefing → research → planning → compliance → launch) could be moved onto multi-agents. Phase 1 RAG agent, Phase 2 collaborative multi-agent (CrewAI as one example) with HITL, Phase 3 macro orchestrator + memory layer + observability. Each phase is paired with a component sketch, the patterns worth watching, and where it tends to break — held loosely as one possible path among many.
How do you organize the sliced agents. Four structures, paired with one skeptical paper that argues 'LLM swarms aren't really swarms.' The conclusion lands where it usually does — structure choice gets dragged along by pricing. Part 2 of the series.
Six core patterns of multi-agent workflow (Supervisor / Sequential / Hierarchical / Network / Swarm / Map-Reduce), grounded in primary sources from LangGraph, CrewAI, OpenAI, and Anthropic. Each pattern's topology and fit, plus a decision framework for production.
A phased view of how a Korean financial marketing pipeline (briefing → research → planning → compliance → launch) could be moved onto multi-agents. Phase 1 RAG agent, Phase 2 collaborative multi-agent (CrewAI as one example) with HITL, Phase 3 macro orchestrator + memory layer + observability. Each phase is paired with a component sketch, the patterns worth watching, and where it tends to break — held loosely as one possible path among many.
How do you organize the sliced agents. Four structures, paired with one skeptical paper that argues 'LLM swarms aren't really swarms.' The conclusion lands where it usually does — structure choice gets dragged along by pricing. Part 2 of the series.