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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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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Case Study: Designing an Agentic Coaching System for Iranians Living Abroad
The real problem for Iranians living abroad is not a lack of information. It is turning fragmented information into an executable decision in an...
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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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