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.
llms.txt vs robots.txt vs schema.org: Which Actually Controls How AI Reads Your Site
Three files, three different jobs, and one of them does nothing you think it does.In any conversation about making a site AI-ready, these three names arrive together as though they were three options for one task. They are not. One controls access, one...
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When Should an AI Agent Refuse to Act? Designing Escalation Boundaries
The most valuable thing your agent does all week is hand one case to a person.In most projects escalation gets designed as the failure path: when...
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LLM Agent Observability: The Five Traces You Must Log From Day One
When an agent gives a wrong answer at 2am, logs are the only thing standing between you and a guess.Observability for ordinary services is a...
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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...
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What Is llms.txt? A Practical Guide to ai-profile.json and AI-Ready Websites
When someone asks ChatGPT or Perplexity about your business, the answer does not depend only on your product quality. It also depends on whether...
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