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The Supervisor Pattern: Why God-Agents Always Collapse (and What to Build Instead)

The Supervisor Pattern: Why God-Agents Always Collapse (and What to Build Instead)

via Dev.to PythonPiyoosh Rai

This post was originally published on Towards AI on Medium . Your $4M agent project just failed. Not because the LLM wasn't smart enough. Not because the prompts were wrong. Because you built a god-agent. One LLM handling routing, validation, tool calling, synthesis, formatting, and error recovery. Ten responsibilities. Zero supervision. Infinite loops guaranteed. God-agents don't scale. They collapse. I've watched three production systems die this way. Same pattern: works perfectly in demo (3 steps, happy path), breaks catastrophically in production (12 steps, edge cases, retries). The God-Agent Failure Mode Here's what breaks when one LLM does everything: Scenario: Insurance claim processing Your agent needs to classify claim type, validate policyholder, check coverage limits, calculate deductible, verify provider credentials, cross-reference diagnosis codes, check prior authorizations, determine approval/denial, generate explanation, and format output. God-agent approach: One LLM lo

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