Dark snowy mountain range seen from above

Understand agents from the inside.

RAG, context engineering, memory, orchestration, and coding agent internals. Taught at the depth practitioners actually need.

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The premise

Most courses stop at the architecture diagram. Agent YAP teaches what happens underneath: the retrieval, the memory, the loops, and the failures.

Written for people who already ship with LLMs and want to understand their systems well enough to fix them when they break.

Multi-agent systems

Many agents. One system.

Alone, an agent is just a loop with tools.

Given a shared goal, structure emerges: an orchestrator, specialists, delegation.

Orchestration is deciding what each model sees, does, and reports back.

A sea of clouds at sunset seen from above

Rise above surface-level understanding.

Curriculum

9 subjects. No hand-waving.

73 chapters, 640 slides, each one a screen you page through. Read a subject in an evening. Reference it for years.

Agentic memory

Memory is sediment.

Every run deposits a layer. Good agents compress experience into strata and let retrieval cut through all of them.

retrieval
Working contextwhat the model sees right now
Episodic traceswhat happened, run by run
Semantic knowledgefacts distilled from experience
Procedural skillsstrategies that survived
Dark snowy mountain range with cloud pouring over a ridge

The climb is the curriculum.

Start with Chapter 1

The reader

Built for reading, not scrolling.

Chapters are screen-sized slides you move through with arrow keys. One idea per screen, generous type, visible progress. All the drama stays out here; the reader stays calm.

Open the reader
Architecture and System Design · Chapter 1Anatomy of an AI AgentBefore you can design an agent, you need a clear mental model of its parts.
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