The Two-Number Test for Every AI Decision
From first principles, a business has only two numbers to move. Here is how to use them to judge whether any AI or software spend is actually worth it.
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In-depth, practical pieces on artificial intelligence and putting it to work inside real businesses — from first principles to working systems.
Your Company Already Owns Its Most Valuable Asset
Most of your company's best information dies where no one can use it. Here is how a second brain turns it into a compounding, usable asset for people and agents.
Where Are Your People Still Typing?
A valuable AI opportunity in most businesses is not a new model. It is letting skilled people talk instead of type.
An AI Ran a Cafe Into the Ground. The Lesson Isn't What You Think.
An AI agent lost money running a Stockholm cafe. The failure wasn't intelligence. It was setup, and that is the whole story of AI in your business.
Most AI Projects Fail for the Same Reason Bad Hires Do
Most growing businesses don't have an AI problem, they have a hiring problem. The companies getting real results treat AI agents like new team members: clear role, real onboarding, and light ongoing management.
Designing AI Agents That Do Real Work
An agent is only as useful as the loop it runs and the tools it can reach. A practical model for building agents that hold up outside the demo.
The AI Readiness Gap: Why Most Pilots Never Reach Production
A working AI demo and a system a business can rely on are separated by a gap most teams underestimate. Here is what actually closes it.