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.
Custom AI Agents vs General Chatbots: The Real Operational Difference
Most businesses do not need an AI agent.They need a clear process first: where it breaks, which data is trustworthy, and which decisions must remain human.A general chatbot can produce an answer. A custom AI agent can read operational state, call tools,...
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Are AI Agents Expensive to Implement? A System Architect's Honest Cost Breakdown
The real question isn't "are AI agents expensive?"Expensive compared to what? Compared to a human operator working around the clock? Compared to...
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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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Expensive vs. Cheap AI Agents: A Framework for Cost, Quality, and Scale
Expensive vs. Cheap AI Agents: A Framework for Cost, Quality, and ScaleAn expensive agent is not automatically a better agent.A cheap agent does...
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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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