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Beyond the Lone Cheetah: Architecture Patterns for Multi-Agent Prides in Real-World Ecosystems

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In-depth architecture patterns for multi-agent AI systems, highly relevant.

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Beyond the Lone Cheetah: Architecture Patterns for Multi-Agent Prides in Real-World Ecosystems
Summary

Treating LLMs as untrusted components, the article details a bounded-authority gate pattern for multi-agent systems, exemplified by a LoanTriageAgent class with a KES 15,000 ceiling, vulnerable-demographic flags, and a kill switch (AGENT_SYSTEM_ACTIVE=FALSE). It warns that models inherit bias from training data, systematically disadvantaging informal-sector applicants (market vendors, seasonal traders) in African micro-lending contexts, and recommends structured bias audits before deployment.

Author

Amayo Clinton

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