🎙️ Zero to working LangGraph agent — live.

You’ve seen the LangGraph docs. You've read the tutorials. But you've never watched someone build a real conversational AI agent from a blank file in real time — and explain every single decision as they make it.

In this session 👉 youtube.com/live/ZUyoK-… we'll build an AI interview coach that conducts technical mock interviews, asks follow-up questions, and scores your answers.

You'll walk away understanding:

• Why LangGraph uses a TypedDict for state instead of objects (and why that matters)

• The exact moment a chatbot becomes an agent — when it gains tools- How add_messages is the reducer trick that prevents state from ballooning

• The ReAct loop: why "think → act → observe → repeat" is just a conditional edge- How MemorySaver gives your agent a memory without a database

• Why Google Gemini is the right choice for a zero-cost workshop (free tier)

Format: Live coding, 4 progressive checkpoints. Every checkpoint is a complete, runnable file.

You can drop in at any point and follow along.

Prerequisite: Python basics. No AI/ML background needed.

🗓️ May 24, 2026

⏰ 6:00 p.m CET

See you there!