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Core Focus Areas

My AI Philosophy

I view AI as an elevator: it's the fast way up, but you still need to know which buttons to press. This site is about learning those buttons—turning complex AI tools into simple, usable shortcuts.

Operating Systems

I build on Linux and macOS, but AI is largely OS-agnostic. I share my solutions openly so that whether you use Windows, Mac, or Linux, you can adapt these workflows to your own setup.

AI-Assisted Coding

In a world of gatekeeping and technical elitism, I want this to be different. No matter your background, your degree, or how you build—if you're creating things that work, you belong here.

No $10k GPU clusters here

Most tutorials assume you have a NVIDIA 4090 and 128GB of RAM. I work on a 2025 Mac Studio and a 2021 gaming laptop. If it runs on my gear, it'll likely run on yours.

My Lab: The Hardware

I believe in transparency. Here is the exact hardware and software stack I use to run my AI experiments.

Mac Studio M4 Max

  • Specs: 36GB RAM, 512GB HD
  • OS: Sequoia 15.7.5
  • Software: Ollama, Affinity Studio, Ardour DAW, LocalWP
  • LLMs: gemma4:31b, qwen3.5:27b, qwen3-coder:30b, gemma4:e4b

Zephyrus G15 (2021)

  • Specs: 32GB RAM, NVIDIA RTX 3080m
  • OS: MX Linux AHS
  • Software: Ollama, VSCodium + Continue, ComfyUI, Forge WebUI, Blender, Qwen3TTS
  • LLMs: gemma4:26b, gemma4:e4b

Dell Precision 3440

  • Specs: Basic Intel i3-10100, 16GB RAM
  • OS: MX Linux
  • Software: VSCodium + Continue, Hermes Agent, Brave Browser, Betterbird

If you are exploring AI on comparable hardware, you'll find the experiments on this site directly applicable to your setup.