Scaling to 120+ AI Agents Without Losing Control
SMRTR summary
A developer's AI agent called Screech initially worked well for simple tasks like searching notes, but collapsed when expanded to handle 40+ tools across multiple domains including code generation, documentation, security audits, and research synthesis. The single-agent architecture with its bloated 2,000-word prompts and complex tool selection created a system that delivered confidently wrong results, demonstrating that scaling AI agents requires architectural solutions rather than better prompts or larger context windows.
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