Writing
Essays on AI, data science, and what holds up after the hype. Published on Asymptotic.
Local AI Series #5: Apple is talking about it too now
I've been writing about local AI all year. The biggest consumer tech company in the world presenting it on their main stage is a very positive development for open source & local AI.
Local AI Series #4: Testing local AI models by asking them to analyze a real A/B test
In my quest to continue testing out local AI models that don't need data centers, I gave them a live A/B test to analyze and see if they can replace me in my daily job
Local AI Series #3: Testing local AI models by asking them to build Cherry Blossoms and Solar Systems
Sharing my experience from testing local AI models in a practical way, using visual prompts to build something you can see and assess quickly.
Local AI Series #2: The Regular Person's Guide to Running AI on Your Laptop
An easy setup guide to help you run a private AI on your own laptop in under 15 mins
Local AI Series #1: It's time for the regular person to start testing local AI models
I've enjoyed the ride with Claude & Codex. But rising costs, quality regressions, and the rise of capable local models might bring private and trustworthy AI to everyday users soon.
How I De-Vibed a Vibe-Coded NLP App
Earlier in the year, I used AI to build me a prompt analyzer app in 20 mins. It took me weeks to wade through the slop and apply the right methods to make it work correctly.
Agentic Coding for Non-Vibe Coders
A workflow for building real things (not demos) with AI coding agents
The Dopamine Trap of AI Coding
The victory of solving a hard problem was sweeter when things used to take time. Now, getting a dopamine hit from watching an agent do all the work, is not the same at all.
Local AI matters, but it's not ready yet
Frontier models are extraordinary. On-device alternatives are not there yet for the average person. But the privacy and cost math is shifting fast.
What 4,887 AI prompts say about how we talk to machines
I analyzed a year of my Claude conversations. The patterns were more revealing than the content itself.
From game design to p-values: Anatomy of a real A/B experiment
Most data scientists inherit someone else's pipeline. I built one end-to-end — product design, instrumentation, statistics — to show how it's done at the highest levels.
