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.

What Skills Should You Invest In During Times of Crisis? Anti-Fragile Capabilities That Survive Economic and Technological Change
Featured June 09, 2026 Operational Intelligence

What Skills Should You Invest In During Times of Crisis? Anti-Fragile Capabilities That Survive Economic and Technological Change

Crises rarely create new skills. They expose the true value of existing ones. A capability that works only in stable environments is not an asset. It is a hidden dependency.When economies slow down, technologies shift, or AI reshapes industries, most...

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What Is Antifragility? Why Iran May Be the World’s Best Laboratory for Learning It
June 09, 2026 Operational Intelligence

What Is Antifragility? Why Iran May Be the World’s Best Laboratory for Learning It

Most businesses are damaged by volatility. Some survive it. A small number become stronger because of it.That distinction separates resilience...

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Can Artificial Intelligence Really Predict Markets? The Reality of AI in Trading and Investment Decisions
June 09, 2026 Founder Execution Systems

Can Artificial Intelligence Really Predict Markets? The Reality of AI in Trading and Investment Decisions

The short answer is yes—artificial intelligence can predict certain market behaviors. The longer and more useful answer is that markets are not...

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How Bad OHLCV Data Destroys Trading Strategies: A Practical Framework for Market Data Quality Assurance
June 08, 2026 Quant System Design

How Bad OHLCV Data Destroys Trading Strategies: A Practical Framework for Market Data Quality Assurance

Most trading strategy failures are blamed on poor signal design, weak indicators, overfitting, or flawed machine learning models. In practice, one...

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Why Fixed LLM Reasoning Levels Are Inefficient: Designing Adaptive Token Allocation Architectures for Next-Generation AI Systems
June 07, 2026 Founder Execution Systems

Why Fixed LLM Reasoning Levels Are Inefficient: Designing Adaptive Token Allocation Architectures for Next-Generation AI Systems

Most discussions around LLM reasoning modes focus on quality. High reasoning is assumed to be better. Low reasoning is assumed to be cheaper. The...

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