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Full-stack dev, Pacific Northwest. Drupal, React, Node — and the occasional cursed bash script.

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Web apps, open source experiments, and client work spanning Drupal, React, and beyond.

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Thoughts on dev, AI, coffee, and building things that actually work. Updated irregularly.

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Tasting notes, origins, and obsessive reviews of specialty coffee from around the world.

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Dive into a space where coding and technology meet creativity and hands-on experience. Here, explore a collection of thoughts, tutorials, and stories about the tech world, project development, and the journey from being a coffee professional to becoming a full-time developer.

Currently working on projects with Hounder.co, this site shares practical insights, coding tips, and behind-the-scenes looks into the world of web development and tech innovation.

Based in the beautiful Pacific Northwest, life is filled with learning, building, and adventures with Amelia and Eliza—two amazing daughters who inspire curiosity every day.

Enjoy discovering new ideas, coding projects, and stories from a passionate developer crafting the next chapter after coffee, one line of code at a time.

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The SoloQuest vs. Running Solo D&D With a Generic AI Chatbot

17 September 2026
Can a generic AI chatbot run your solo D&D campaign? Yes — but the SoloQuest was built specifically as an AI dungeon master for 5e, with real rules, persistent campaign memory, and structured adventures. Here's how they compare.
Math Buddies: App Icon

Duolingo meets Fruit Ninja, with a lot more dogs

I went looking for a good math app for my daughters and mostly found two kinds: free ones covered in ads that wanted my kid's attention more than her arithmetic, and good ones that wanted fifteen dollars a month forever. Multiply that by two kids and a few years and you're paying for a used car so someone can practice their times tables.
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PocketMacro Is Live: What It Took to Ship On-Device Meal AI

The on-device calorie tracker I wrote about a few months ago is on the App Store. It's called PocketMacro now. Here's what happened between "the model runs on a phone" and "this is an app people can use": portion confidence, a text entry path, a download pipeline that verifies itself, and a release gate for code that returns a guess instead of an answer.
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