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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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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Deep Learning Prediction Models for Stock OHLCV Data: A System Design Framework
The Real Problem: Why Deep Learning on OHLCV Data Usually DisappointsMost teams building deep learning models for stock prediction start with the...
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The Real Cost Equation of Quant Systems: A Component-Level Model
The Problem: Quant System Costs Are Always Higher Than the Spreadsheet ShowsMost teams calculate the cost of a quant system by adding up servers,...
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