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Build. Learn. Deploy. Intelligently.

Deep architectural specs, production boilerplates, and systems-level tutorials for full-stack AI engineers. Learn how to scale RAG, build reliable agent harnesses, and optimize LLM costs.

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The Full-Stack AI Curriculum

BOOK 1 · ARCHITECTURE

The Practical Guide to Agentic AI Systems

Master systems-level design patterns for models, tools, memory, evaluation harnesses, and security boundaries. Outlines 46 chapters of conceptual depth.

Status: Writing$39
BOOK 2 · HANDS-ON BUILD

Full-Stack AI Applications from Scratch

Build one cohesive customer agent using React, FastAPI, LangGraph, pgvector, and Redis. Includes step-by-step code annotations.

Status: Outlining$59
BOOK 3 · ENTERPRISE SCALE

Scaling AI Systems: Event-Driven Infrastructure

Scale to millions of requests with Kafka document ingestion, Temporal durable workflows, Kubernetes, and distributed tracing.

Status: In Planning$79
CURRICULUM SPECIFICATION

Structured Learning Paths

Explore comprehensive engineering roadmaps split by technology stack and core system domains.

Frontend AI Engineering

Learn Vercel AI SDK patterns, dynamic Generative UI integrations, streaming components, and prompt interfaces.

Backend AI Foundations

Master FastAPI routers, server-sent events (SSE), tool/function calling schemas, and guardrail interception pipes.

Agent Orchestration

Build cyclical graphs in LangGraph, define multi-agent teams, coordinate states, and inject Human-in-the-loop checkpoints.

Production Infrastructure

Optimize pgvector indexes, handle semantic cache hits with Redis, manage queue architectures, and scale containers.

OPEN SOURCE BLUEPRINTS

Hands-On Projects

Explore production-ready repositories containing complete, runnable code templates.

PROJECT 01 · CODE SCATTER

LangGraph Ticket Assistant

A multi-agent customer ticket router that reviews requests, calls lookup APIs, and escalates unresolved paths to human channels.

Stack: FastAPI, LangGraph
PROJECT 02 · INTERACTIVE GRAPH

Generative UI SSE Chatbot

A Next.js 15 chatbot client that renders custom React widgets dynamically on model tool calls, streaming messages over SSE.

Stack: Next.js, Vercel AI SDK
INTERACTIVE LABS

Evaluate Caching Economics Live

Use our live simulation labs to calculate token budgets, compute match percentages, and analyze comparative savings across Gemini, Claude, and GPT-4o models.

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