I’ve spent the last several years deep in blockchain infrastructure — building marketing and growth functions for projects like Polygon and Sei. It was fascinating work at the intersection of technology and narrative, where you’re not just shipping products but shaping how people understand entirely new categories.
Now I’m doing the same thing with AI, except this time the tools are useful on day one.
What Changed
The shift happened gradually, then all at once. I started using Claude for research and writing. Then I started using Claude Code for building things. Then I started building AI skills and workflows that automated chunks of my daily work. At some point I realized I was spending more hours per day working with AI than I was thinking about crypto.
More importantly, the feedback loop was immediate. In crypto, you’d build something and wait months to see if the market cared. With AI tools, you try something and know within minutes whether it works.
What I’ll Write About
This site will focus on three areas:
AI agents and how to use them. Not the hype cycle version — the practical reality of what agents can do today, where they fall short, and how to get real value from them.
Prompt engineering as a real skill. Most people are still treating AI like a search engine. The gap between a mediocre prompt and a great one is enormous, and it’s a learnable skill.
The best AI tools, honestly reviewed. I use these tools every day for real work. I’ll share what actually delivers and what’s just marketing.
Why This Matters
We’re in a weird moment where AI is simultaneously overhyped and underused. The headlines are about AGI and existential risk, but most people haven’t figured out how to get ChatGPT to write a decent email. There’s a huge gap between what’s possible and what people actually know how to do.
I want to help close that gap — not with breathless predictions about the future, but with practical knowledge about what works right now.
If that sounds useful, stick around. There’s a lot more coming.