Knowledge Base
Guides, glossaries, and references I write for myself — shared here too
What Is AI, Really? — Interactive Explainer
6 steps from movie myths to grounded reality — AI family tree, how it learns, Narrow vs AGI, AI already around you
How LLMs Work — Interactive Explainer
Understand Tokenization → Embeddings → Self-Attention → Generation through animations and clickable demos
Your Data and AI — What's Safe, What's Not
A practical guide to using AI safely — what to send, what not to, and how each service handles your data
Choosing the Right AI Tool — A Guide by Task
ChatGPT, Claude, Gemini, Copilot, Midjourney — who's best for what. A 30-second decision guide for everyone
AI Glossary: Plain Language Definitions for Developers
RAG, fine-tuning, embedding, context window, hallucination — short, direct definitions with no fluff.
LLM Selection Guide for Developers 2026
Claude, GPT, Gemini, or open-source? A framework for picking the right model based on task, budget, and infrastructure.
Ollama Quick Reference — Run LLMs Locally
Commands you'll actually use with Ollama: pull, run, serve, model list, memory config — all in one place.