Recursive self-improvement is the process of building AI agents that learn from their own output and get smarter every time they complete a task. Anthropic recently shared that they’re generating eight times more code than they were just a few quarters ago using this same approach. The principle is straightforward: when an agent does work, it documents what it did, …
Why I Switched from ChatGPT to Claude
I used ChatGPT thousands of times across my businesses. I paid thousands of dollars in token credits. I bought licenses for my entire team. Then I tested Claude on the same tasks, head to head, and the results were not even close. The head-to-head test I put ChatGPT agent mode and Claude for Chrome side by side on the same …
What the ONE Thing You Want AI to 100x Multiply for You?
Here’s something most people in digital marketing don’t realize yet: one person using AI agents can now outperform an entire team of virtual assistants. Not by a small margin. By 100x. That’s not hype. That’s what I’ve seen firsthand, and it’s what leaders like Sam Altman, Dario Amadei, Demis Hassabis, and Elon Musk are all saying too. AI agents are …
Here Are My Favorite Phrases to Talk to AI to Get the Best Results
A lot of people are using AI like a chatbot, just having it agree with them and giving vague instructions. But there’s a better way. Here are the exact phrases and frameworks I use to get the best results from AI agents. Start with the goal, not the how The first thing I do is talk about what I want …
Stop Using AI Like Everyone Else
I’m standing at the Avatar Mountains in China, the place that inspired the movie Avatar. And everyone around me is doing the exact same thing: taking the same photos, from the same angles, at the same spots. It’s a perfect metaphor for what’s happening with AI right now. The problem with how people use AI A billion people are using …
Building Your AI Foundation That Lasts
AI tools change every week. Claude Mythos, Gemini 3.0, Grok, ChatGPT. There’s always something new. But chasing the latest tool is a trap. What you need is a framework that stays the same no matter which AI you use. Everything you build should be portable. Here’s the system I use, broken down into four stages. Start with your why Before …