Essays · Operations Intelligence, AI and Quant
Hossein Narimani — Writing
In-depth writing on quant system design, operational AI, SaaS architecture, custom AI agents and founder execution systems.
LLM Agent Observability: The Five Traces You Must Log From Day One
When an agent gives a wrong answer at 2am, logs are the only thing standing between you and a guess.Observability for ordinary services is a solved problem: response time, error rate, resource use. For agents those tools are close to useless, because the...
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5 Common Mistakes in AI Agent Orchestration (And the Architecture That Fixes Them)
The Real Problem: Orchestration Doesn't Fail. The Design Does.When a multi-agent system breaks in production, the first explanation you hear is...
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Common Mistakes in Agent Orchestration for Operational Systems — Why RAG and Function Calling Alone Are Not Enough
Most teams building with Agent Orchestration make the same foundational mistake: they treat it as a tooling problem. They build a RAG pipeline,...
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Why Generative AI Agents Fail in Real Operational Systems: Architecture, Latency, and Cost Constraints
Most AI Agent projects work well in the demo stage. The problems start when you move them into a real system. Latency climbs. Costs spiral out of...
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