
Building Intuition: What AI Gets Wrong (How to Predict It)
AI failures aren't random—they follow patterns. After 1000+ hours of vibe coding, you can predict when AI will fail. Here's how to build that intuition.
Designing human-in-the-loop and human-on-the-loop systems.
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In human-AI collaboration, what's the human's role? Explore the irreplaceable skills, new competencies, and mindset shifts that define effective AI partnership.

Agent orchestration is becoming a career. Reflections on what it means to direct AI systems daily—the identity, challenges, and unexpected rewards of this emerging role.

When AI can do the basics, what makes an expert? Explore how AI reshapes expertise, which skills become more valuable, and how to develop for an AI-augmented future.

When is it ethical to let AI decide? A thoughtful framework for delegation—accountability, autonomy boundaries, and the questions every organization should ask.

Most AI programs stall because organizations are unprepared, not because models are weak. Here's how CTOs can build team AI literacy, redesign workflows, and create structures that deliver real value.

AI tools require a different mindset than traditional software. Here's the practitioner knowledge that separates productive AI users from frustrated ones.

A senior developer's cautiously optimistic reflection on AI-assisted development—where quality is finally winning, documentation becomes executable, and the joy of building is unexpectedly returning.
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