WhatsApp AI Agent Tutorial 2: Dissecting Ava's Brain | Intro to LangGraph & LangGraph Studio

In this tutorial, we dive into Lesson where you’ll learn how Ava’s advanced brain is built using LangGraph—the state‑of‑the‑art, graph‑based orchestration framework for AI agents. We’ll show you how nodes, edges, and persistent state work together to enable Ava to process multimodal inputs (text, voice, and images) and make intelligent decisions in real time. Inspired by the dynamic world of sci‑fi AI, this lesson provides a detailed code walkthrough of Ava’s architecture, complete with a live demonstration in LangGraph Studio. Discover how features like conditional routing, state management, and context injection (which simulates human-like activities) make Ava far more than a basic WhatsApp chatbot—she’s a sophisticated WhatsApp agent ready for real-world applications.

By the end of this lesson, you’ll understand the core concepts behind LangGraph and gain the skills to build your own advanced AI companion. Let’s get started!

📌 Links:
• Miguel’s Newsletter: https://theneuralmaze.substack.com
• Project GitHub repo: https://github.com/neural-maze/ai-com...
• LangGraph Academy' Intro to LangGraph: https://academy.langchain.com/courses...
• How to connect a local agent to LangGraph Studio: https://langchain-ai.github.io/langgr...

Chapters:
00:00 Ex Machina Face Swap Magic
00:25 Face Swap Intro
00:51 Lesson 2 Intro
01:45 Agentic Frameworks
02:35 No-Code / Low-Code Framworks: n8n, make, flowise, rivet
03:42 Code Frameworks: LangGraph, smolagents, crewai...
04:25 Why LangGraph?
05:35 Ava's Brain Diagram
08:00 "stateful" graph
08:35 Code Overview: nodes file
10:20 Code Overview: router node
12:13 Code Overview: state class
13:05 Code Overview: context injection node
14:24 Code Overview: graph file
14:24 Code Overview: graph file
15:28 LangGraph Studio Overview
18:00 How to set up LangGraph Studio?
19:25 Wanna know more?
20:15 Real-World Applications