AI Insights & Business Intelligence

A model built an Australian agency's 90-day planning system on the wrong calendar, because nobody had ever written the right one down. Fable 5.1 runs for hours on whatever you give it. Here are the four things it needs from you, and the one-page exercise that shows where your business is unfinished.

Founders write the goal, the guardrails and the budget, then leave the finish line to the model, and the model stops at the most plausible point. Here is what a five-line definition of done looks like for a client plan, a research brief and a report, and three five-minute tests to run before the brief goes out.

For two years my agents only worked when I did. Then a newsletter went out while I was over the Rockies with the wifi off. Here is the one rule for where each agent should run.

Every founder says they need to centralize their data, then describes a reporting problem. The real reason is hyper-personalization: the right thing to the right person at the right time, for employees and customers alike.

Tracy Angwin had 20 years of payroll training locked in her head and a declining classroom business. Here is how a small team traded a mountain of human hours for AI tokens and built a real product: Payroll IQ.

The old way to stand up a real internal system took a team of engineers, DevOps, and months. We built one in roughly 100 human hours by designing the workflows and letting AI build. Here is what that actually buys a company.

The old way needed a team of engineers plus DevOps to stand up a real system. I built the Edge8 operating system a different way: design the workflows, let AI build, bring engineers in to harden. Here is the honest version.

AI prompt libraries quietly break every time models improve. Here's why your prompts stop working, what skills actually compound, and who to hire for the shift.

How to choose an AI model setup for your business: apps only, API access to any model, or self-hosted open-weight models. The real tradeoffs at each level.

AI-era leadership now needs a second skill set: workflow design, information architecture, and writing instructions for AI. Here is how to build it.

Most companies buy AI tools when they need an AI program built on their own data. I built one on myself in a day, and it told me the truth about how I lead. Here is the difference, and why it is the whole game.

While ChatGPT dominated headlines for nearly a decade, Elon Musk quietly orchestrated a masterclass in long-term strategic thinking. Grok 4's breakthrough validates a fundamental principle: strategic patience beats early market entry.