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 Agents for Clinics: What Actually Works in Patient Follow-Up
A clinic's problem is rarely answering messages. It's the patient nobody messaged. When a clinic asks about AI, the mental image is usually a chatbot on the website. That is almost always the worst possible starting point — on value and on risk. Where an...
Read more →
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...
Read more →
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...
Read more →
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...
Read more →
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...
Read more →