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.
Two-Level Decision System: Separating Signal from Noise in Contextual Data
Most decision systems share one structural flaw: they process every incoming data point with equal weight. The system has no concept of which signals carry real information and which are noise. The result is costly decisions driven by meaningless data. The...
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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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Feedback Loop Systems for Fast Decision-Making in Startups: How Founders Execute with Real-Time Data
Most startups drown in data, not the absence of it. Dashboards packed with metrics, weekly reports, review meetings — and yet executive decisions...
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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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Personal Architecture: If Your Life Were a SaaS, Where Would the Bottleneck Be?
Most people assume life breaks because of insufficient time. Production systems fail for a different reason. Capacity collapses before time runs...
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