AI Engineering Studio

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Foundations

How LLMs Actually Work (no math)

The Four-Layer Map

AI Vocabulary for Customer Conversations

LangGraph in 10 Minutes

POC Playbooks

Scoping an AI POC

Decision Frames

Managed API vs Self-Host

The Real Cost of a RAG System

Do We Even Need an Agent?

How Do We Know It Is Good Enough?

What Will This Cost at Scale?

Talk Tracks

Explaining a Hallucination

Labs

Overview

Choosing a Model Backend

01 · First LLM App

02 · Production RAG

03 · Agent System

04 · Eval Harness

05 · Serving & Cost

06 · Observability

07 · Capstone

Lessons

Overview

RAG Patterns

Agent Architectures

Context Engineering

MCP and A2A

Reference Architectures

Guardrails and Governance

The MLOps-LLMOps Bridge

Visuals

The Four-Layer Map

Decisions (ADRs)

ADR 001 — LangGraph as orchestration standard

Standards

Depth Standard

Canonical Cast

Visual Prompt Standard

Imagery Plan

Contributing

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