NYMG Agentic Academy

What You'll Learn in This Course

How AI language models actually work — and why they sometimes get things wrong
The difference between a chatbot and an AI agent that takes real actions
How Atlas, your content agent, works and how to collaborate with it
Your evolving role as a country manager working alongside AI

Atlas — Your Content Agent

Atlas is the AI agent you'll work with most. It lives in your Slack channel (#atlas-[your-country-code]) and handles:

Content updates — applies changes to your market's pages
Translations — translates content using your language's glossary
Quality checks — verifies changes were applied correctly

Atlas spawns a temporary sub-agent for each language task. You always talk to main Atlas — the sub-agents work behind the scenes.

The Glossary — 15 Years of Expertise

NYMG's glossary captures 15 years of institutional knowledge — per-language files with the correct terminology, brand names, and local expressions. Atlas loads the right glossary automatically for each market. Your expertise as a country manager keeps it accurate and up to date.

How You Work with Atlas

Course Overview

Day 1

What Are LLMs?

How AI language models work — they predict text, they don't think. Why they sometimes hallucinate, and what a context window is.

Day 2

The AI Landscape

Who builds AI systems, why providers differ, and how NYMG keeps a practical, reliable setup for country teams.

Day 3

From Chatbot to Agent

The difference between passive AI (you ask, it answers) and active AI (agents that use tools, remember context, and take initiative).

Day 4

Our Setup

How NYMG's agents work — Atlas for content, Joey for social. Skills, pipelines, memory, and the glossary system.

Day 5

What This Means for You

Your role working alongside AI agents — what your days look like and the road ahead.

Key Takeaways

🔹 AI predicts text — it doesn't think. Always review AI output. It can be confidently wrong.

🔹 Atlas is your main agent. It handles content and translations for your market via Slack.

🔹 The glossary is your expertise. 15 years of knowledge that keeps translations accurate. Flag mistakes to keep it sharp.

🔹 Agents have skills, not feelings. They have names and personalities to make them easier to work with, but they're tools — powerful ones that need human oversight.

🔹 Your expertise matters. You know your market, your language, your audience. The AI handles the heavy lifting; you ensure the quality.