Stories from real builds.

The internet democratized access to information — then consolidated into a handful of gatekeepers. LLMs are democratizing what you can do with that information. And that's much harder to consolidate.

Mainframes consolidated. PCs fragmented. Cloud consolidated again. AI is triggering the next fragmentation — and it's the biggest opportunity in software since the personal computer.

QuickBooks is designed for millions of businesses. Mine has one user, one company, and an AI operator who reads every transaction. That changes everything about how accounting software should work.

Rick Rubin doesn't play instruments. He produces albums that define generations. The gap between taste and execution has always been the bottleneck — until now.

I'm running six AI agents on one Mac Studio, each as its own macOS user. OpenAI just acquired the creator. Here's what actually matters this week.

Corporate culture trained us to chase data and justify decisions. AI does that better than we ever could. What it can't do is the part that actually matters — and that realization is changing how I lead.

On-device inference is the second democratization of AI. The first put AI in the cloud for everyone. The second puts it on your device, under your control.

Mass-market software is off-the-rack — designed for millions, perfect for nobody. For the first time, individuals can commission software that fits exactly how they think and work.

The same four-phase pattern that accelerates software development works for content. Here's how to build a pipeline that turns raw ideas into published work — and compounds over time.

AI is democratizing technical ability at unprecedented speed. The new competitive advantage isn't coding skill—it's understanding what to build and why it matters.

The most exciting opportunity in AI isn't building better models. It's bringing existing capabilities to industries that haven't adopted them yet.

We're optimizing our workflows while AI optimizes its own. The gains compound faster than anyone expected. Here's how I'm actually using this — and why the same pattern works beyond software.