Practitioner-written guides on AI agents, independence, and building with leverage. No listicles. No fluff. Real systems, real numbers, real failures.
Most content about AI agents is theoretical. This is not. I run a consulting business with a team of 10 AI agents that handle sales, marketing, development, operations, and coordin...
Everyone says AI makes you more productive. Almost nobody measures it. I built a simple framework called the Leverage Ratio to answer one question every day: did I do this, or did ...
The AI industry treats everything as an 'agent' problem. Most of it should be a workflow problem. After building both -- autonomous agents for judgment-heavy work and deterministic...
On April 10, 2026, I activated a 10-agent AI team in a single session. They produced a revenue brief, ICP research, two outbound sequences, deal records, a system audit, and a week...
I track one number every day. Not tasks completed. Not hours worked. Not revenue. One number: the Leverage Ratio. It's the ratio of total output value to the hours I personally inv...
The AI industry has an agent problem. Not a technical one — a naming one. Every automation is called an "agent" now. Your email responder? Agent. Your data pipeline? Agent. Your da...
Everyone asks about the AI agent results. Nobody asks about the costs. That's a problem, because the costs are real, they're not trivial, and they determine whether running an AI a...
In early 2026, I set out to build a content engine that could produce 45 highly targeted articles, publish them automatically, and generate $1,500 audit bookings on autopilot. The ...