Artificial Intelligence
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I Built a Private AI Cloud. My Data Is Mine.
There’s a moment every creative hits when they realize the tool they’re using is also using them. Maybe it’s subtle. A response that sounds a little too polished. A suggestion that feels like it came from everyone and no one. A slow, creeping suspicion that the thing helping you think is also quietly learning from…
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From SSH Friction to a Private LLM Cloud: Building a Private, Repeatable Ollama + EC2 Setup
Setting up a private, cloud-powered LLM environment on AWS sounds straightforward, until you actually do it. What started as a simple goal… “run Agent Zero with Ollama on EC2 without exposing sensitive data” …quickly turned into a maze of SSH quirks, Docker inconsistencies, networking gotchas, and AWS nuances. The good news: once you get through…
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Designing AI Systems That Actually Work
I’ve been designing and deploying custom AI agents, not generic tools, but systems built around how individuals and businesses actually work.
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You Can’t Recreate an AI “Personality” Without Doing This First
In my last post, I laid out a core problem: AI identity doesn’t survive a simple export/import. You don’t lose the data. You lose the presence. So the obvious next question is: How do you actually capture that presence in the first place?
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From Friction to Flow: How I Automated My Screenshot-to-Notion Workflow with Shell Scripts and AI
Learn how I built a macOS screen capture to Notion workflow using AI, environment variables, and automation to eliminate friction and reduce steps.
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Versioned Voice Tuning Log
I built a local voice cloning system that respects privacy and control. It’s a work in progress, focusing on tuning speed, pitch, and emotional depth to sound like me.