How models think, tokenize, and generate — the mental model every AI engineer needs.

ReAct loops, planners, reflection, hierarchical delegation — the building blocks of autonomous systems.

Function calling, tool schemas, and the Model Context Protocol that connects LLMs to the real world.

Embeddings, retrieval strategies, reranking, evaluation — production-grade retrieval-augmented generation.

Architect agentic systems at scale — the kind of questions Big Tech asks in FDE interviews.

Knowledge questions, behavioral scenarios, and curveballs — drilled until they're reflexes.

Whiteboard your architecture. Get AI-scored. Ship it.