Articles
1633 posts
Learning in AI Is All About Exposure
I sat through a multi-hour AI training with 3,000 people and discovered less than 10% had ever tried a second tool. Comfortability keeps you stuck in the tool you started with. Exposure is how you get out, and here are two easy ways to choose it.
How Do You Test Output That Changes Every Time You Run It?
Ask an AI to build the same thing twice and you get two different programs, both working. So you can't test the code against one right answer. Here's how to test what it actually does instead, in five layers, with a Stripe webhook as the example.
It's the Harness, Not the Model
It's not the model, it's the harness. Here's the one I built for content, plus a 7-minute demo of it running.
Your Voice Won't Die From Using AI. It'll Die From Agreeing With It.
The real threat AI poses to your voice isn't reduced typing, it's the erosion of your taste every time you approve a suggestion instead of overruling it. Keep your voice upstream (the deciding) and confine AI downstream (the executing) by making four non-delegable calls before you generate a word.
You've installed a Claude Skill and it's not working. How to fix it.
You installed a Claude skill someone else published and it just sits there, never running. That isn't a broken skill, it's how skills load. Here's why it happens, how to tell, and two ways to fix it, including one that needs no editing at all.
The Video You've Been Putting Off Takes Five Minutes Now
You shipped something real and nobody knows it exists. Video used to mean gear, a crew, and an edit. Now it's a short script and about five minutes, which moves the hard part to whether you've got something worth watching.
Encoded Judgment: How a Cheap Model Performs Like an Expensive One
I ran a product team that captured every customer question into a playbook before handing it off. That old loop is exactly how you make a cheap AI model carry expensive work.
Loop Engineering: For me it's about using dumber models and smarter code
My take on loop engineering: push judgment onto dumber, cheaper models and smarter code over time, so a long-running agent gets cheaper and more trustworthy with use.
What AI Found Hiding in 74 Posts I Never Planned
I put AI to work on the boring part of my site: reading 74 posts to surface the topics, audiences, and cross-links that were hiding in them all along.
Inside a Claude Skill: The Eight Steps That Build the Red Dot skill
I open the hood on the Claude Skill that builds mirror assessments — the eight-step pipeline, the single spec it compiles, and the checker that won't ship broken.
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