AI Letters #08 - Many Agents, One Goal: Planning, Orchestration, and Multi-Agent Systems
· 3 min read
The competitive intelligence pipeline kept failing at step 6. Always step 6. The agent was trying to simultaneously search for news, pull financials, and cross-reference analyst reports - in one context window, with one reasoning thread.
Splitting it into three specialized agents - researcher, analyst, synthesizer - with an orchestrator routing between them, fixed it in two days.
Part 4 of 5: why single agents hit a ceiling, the 3 multi-agent patterns, a full LangGraph orchestrator-worker implementation, Plan-and-Execute vs ReAct vs LLM Compiler, and the coordination problem no one talks about.
This letter was first published on AI Letters →
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Interactive Data Stories
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From Single Models to Multi-Agent Systems →
1980s distributed AI research → 2025 native orchestration APIs - click each milestone to trace the evolution.
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The 3 Multi-Agent Architecture Patterns →
Orchestrator-worker, peer-to-peer, hierarchical, critic-actor - click each to see the architecture, code pattern, and failure behavior.
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Multi-Agent vs Single Agent: The Evidence →
Success rates, compounding failure math, and planning strategy comparison - the case for decomposition in numbers.