Blog

My Approach to Product Development with AI Agents

How to design, develop, and test products using AI agents to achieve predictable results.

AI Visibility and AI Interface - Two Layers of SEO for the Era of Answers

Search has changed-now it's not just about getting indexed, but making your site AI-readable and offering users a convenient AI interface.

You're Burning Your AI Agent Budget Because You Don't Test Their Skills

How agent skills work, why they consume tokens, and how to build an evaluation system without guesswork - based on SkillBench data and engineering practice.

The Illusion of Autonomy: Why Real AI Agents Are Not Digital Employees, but a Coordination Layer

A successful AI agent in production is not an autonomous digital employee, but a coordination layer between people, systems, and rules.

Building an AI Agent Team: Roles, Feedback, and Collaboration

A detailed look at how to build an AI agent team with distributed roles and resilient feedback loops.

The Most Important Skill

Professionalism is defined not by stack or certificates but by the ability to take a real problem and bring it to a working solution.

7 Key Skills for Building Reliable AI Agents

A practical breakdown of skills that turn ordinary prompting into an engineering approach to building resilient agentic systems.

Levels of Responsibility in a Team-Who Is Your Real Asset

Leadership is not control. It is the ability to grow people who can act without you.

Do We Still Need RAG?

Choosing the best approach for large language models.

Context Engineering in LLMs

A breakdown of what context engineering is and how it works.

EVERY - 15 People. 6 Businesses. 99% AI-Written Code

How 15 people run six businesses with AI agents writing 99% of the code.

Five Key Components of Product Teams

How to turn execution-focused engineers into proactive product co-creators.

How AI Agents Will Change in 2026

Three key shifts that are already underway.