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Thoughts on AI, automation, and building systems that actually work.

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AI Philosophy

The Real Cost of Moving Too Fast with AI

Speed matters. But in AI, the wrong kind of speed creates problems that are exponentially more expensive to fix later than to prevent upfront.

3 min readApr 6, 2026
Hand-drawn illustration of a modular system core with a swappable component sliding into place and a circular arrow showing adaptability
AI Strategy

Your AI System Should Survive a Model Update

New models ship every quarter. If your AI system is locked to one provider, every upgrade becomes a rebuild. Here is how to design for change.

3 min readApr 5, 2026
Hand-drawn illustration of a magnifying glass inspecting a single puzzle piece with a closed toolbox sitting nearby
Practical

Stop Picking AI Tools Before You Know the Problem

Every week, someone asks which AI tool they should use. The answer is always the same: it depends on the problem, and most have not defined it yet.

3 min readApr 5, 2026
Illustration of ascending data foundation bars with flowing data lines and an upward trend arrow
AI Strategy

Why AI Automation Fails Without a Clear Data Strategy

Most AI automation projects fail not because of the model but because of the data. A clear data strategy is the foundation that makes everything else work.

4 min readApr 5, 2026
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AI Strategy

Why Most AI Projects Fail Before They Start

The technology works. The problem is everything that happens before anyone touches it.

6 min readMar 5, 2026
Illustration of a human figure connected to an AI node through a circular feedback loop
AI Philosophy

Human in the Loop: Why the Best AI Systems Still Need People

AI handles the volume. Humans handle the nuance. Here's why that balance matters.

5 min readFeb 26, 2026
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Practical

How to Tell If Your Business Is Ready for AI Automation

Not every process should be automated. Here's how to figure out which ones should.

7 min readFeb 18, 2026
Illustration of modular blocks being rearranged with swappable components above a connected row
AI Strategy

Build to Adapt: Why Your AI System Shouldn't Be Locked to One Model

New models come out every month. If your system can't swap, you're already behind.

6 min readFeb 10, 2026
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Practical

The AI Jungle: How to Find Your Starting Point

Everyone's talking about AI. Most companies don't know where to begin. Start here.

5 min readFeb 3, 2026
Illustration of an iteration spiral progressing from draft to refine to polish
AI Philosophy

Good Enough Isn't Good Enough: Why Patience Makes Better AI Systems

The difference between a system that lasts and one that breaks is the willingness to rebuild.

4 min readJan 27, 2026