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.
How to Evaluate an AI Agent Before It Touches Production
Your agent passed the demo. That says nothing about the 200th ambiguous ticket.An agent always looks good in a demo, because you chose the questions. The problem starts when it enters real traffic and stops being handed clean inputs. A customer writes half...
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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...
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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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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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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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