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.
AI Agent Scaling Infrastructure Costs: Why Architecture Beats Model Choice
The Real Problem: Agent Costs Scale Exponentially, Not LinearlyMost teams pricing an AI agent look at one number: cost per token. That's the first mistake.A simple tool-calling agent burns 5,000 to 15,000 tokens per task. A complex multi-agent system can...
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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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