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.
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 control. And the synchronous architecture that looked elegant in a notebook buckles under real production...
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Building Custom AI Agents with Memory Persistence and State Management for Production Decision Systems
Most AI agents that work in demos fail in production. Not because the model is wrong. Because they have no memory and no state. An agent that...
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