How modern AI actually works.
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.
Explainers
Tools
Design patterns for AI systems, Reflection, Router, Judge, Verification, Human-in-the-Loop. How each works, when to use it, and an example prompt.
When the AI you build on goes down
Everything on this page ultimately runs on a handful of providers, and when one of them has an outage it cascades to every tool built on top of it. Here is the live status of the major AI services, with the live AI dependency map behind it, from our sister tool AIDownCheck.
What’s coming
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.