Not “what is ChatGPT” and not a list of prompts. The infrastructure — context windows, MCP, RAG, embeddings, tool calling — explained clearly enough to build on, and simply enough to learn from. These are the SMTP and POP3 of the AI era: foundational concepts you’ll still be looking up in 2030.
Design patterns for AI systems — Reflection, Router, Judge, Verification, Human-in-the-Loop. How each works, when to use it, and an example prompt.
This pillar is built infrastructure-first, and the core cluster is live — context windows, embeddings, vector databases, RAG, agent memory, MCP, tool calling, and structured outputs, all cross-linked so each concept leads to the next. Next on the bench: more patterns and more client-side tools. Everything runs in your browser; nothing is uploaded. Read the blog for the thinking, or start with a context window.
A note on numbers: AI capabilities and limits change fast. Anywhere we cite a model-specific figure, it’s dated and kept in one place you can verify — we don’t assert specs from memory.