Honest thinking about technology decisions. — Page 6

That crusty ERP from 2005 handles 80% of your critical processes. Before you replace everything, here's why legacy systems deserve a strategy seat.

Companies racing to implement AI are making more decisions, but worse ones. Speed without direction just means reaching the wrong destination faster.

I built a SmugMug replacement in five hours with AI tools. When competitors can replicate your product that fast, your value proposition needs rethinking.

While everyone focuses on shiny new technologies, these foundational decisions quietly determine whether your company thrives or struggles.

Self-Learning AI Systems Create Illusions of Progress While Quietly Undermining Their Own Foundations

Start with business problems, not AI solutions. Here's how to separate real AI opportunities from expensive distractions — and when to wait.

McKinsey's latest AI survey shows what separates experimentation from real value: workflow redesign, CEO oversight, and meaningful KPIs.

Tech decisions without business input build capabilities nobody asked for. Business decisions without tech input create impossible expectations.

AI moves fast, but strategic principles don't change. Here's how to apply timeless thinking to navigate the compressed AI hype cycle.

Most companies are stuck between AI ambition and execution. A five-step framework to move from boardroom conversations to measurable business value.

The orgs winning with AI aren't the ones with the biggest budgets — they're the ones connecting AI directly to business outcomes. Build your flywheel.

AI Agents are part real advancement, part marketing rebrand. Here's how to cut through the hype and find where they actually deliver value.

Real-world lessons on balancing speed with stability and how tracking technical debt like financial debt can transform your development process.

I use AI daily — not to replace my thinking, but to multiply my output. Here's how I leverage AI for coding, research, and content.

Anthropic analyzed 4M+ AI conversations to reveal where AI actually gets used. The data shows augmentation wins over automation, 57% to 43%.