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  1. AI·8 min read·

    Local LLM Deployment: Privacy-First Approach

    Deploy local LLMs for privacy-first AI—run language models on homelab hardware with model selection, optimization, and deployment strategies.

  2. Programming·3 min read·

    PizzaOps: How a Dumb LLM Experiment Became a Distributed System

    I asked an early LLM to build a pizza calculator to find out whether it could write working code. It could. Then it kept adding features nobody asked for, and I made the mistake of encouraging it.

  3. AI·11 min read·

    Mastering Prompt Engineering: Unlocking the Full Potential of LLMs

    Master prompt engineering with few-shot learning and chain-of-thought techniques—improve LLM response quality by 40% through systematic optimization.