AI Builders and Learners - New York

• GitHub: https://github.com/sagecodes/ai-build-and-learn
• Events Calendar: https://luma.com/ai-builders-and-learners
• Slack (Flyte AI Slack): https://slack.flyte.org/
• Hosted by Sage Elliott: https://www.linkedin.com/in/sageelliott/

In this stream

• MCP concepts overview
• Hands-on demo
• Discussion + practical examples

Community challenge (optional)
Try spending 30–90 minutes during the week learning or building something related to MCP, then share what you’re working on in Slack.

Note on Flyte / Union
You may see Flyte used in some demos. Flyte is an open-source AI orchestration platform maintained by Union.ai for building scalable, durable, and observable AI workflows. You do not need to use Flyte to participate.

• Union: https://www.union.ai/
• Flyte: https://flyte.org/

Drop a comment with ideas for future topics (agents, RAG, MLOps, robotics, frameworks, and more).

Want to discuss the contents during the reading week? Join the Slack Flyte MLOps Slack group and search for the "ai-reading-club" channel. https://slack.flyte.org/

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About the book:
Title: Context Engineering for Multi-Agent Systems
Authors: Denis Rothman
Published: November 2025

https://learning.oreilly.com/library/view/context-engineering-for/9781806690053/

Chapters:
Chapter 1: From Prompts to Context: Building the Semantic Blueprint
queue
Chapter 2: Building a Multi-Agent System with MCP
Chapter 3: Building the Context-Aware Multi-Agent System
Chapter 4: Assembling the Context Engine
Chapter 5: Hardening the Context Engine
Chapter 6: Building the Summarizer Agent for Context Reduction
Chapter 7: High-Fidelity RAG and Defense: The NASA-Inspired Research Assistant
Chapter 8: Architecting for Reality: Moderation, Latency, and Policy-Driven AI
Chapter 9: Architecting for Brand and Agility: The Strategic Marketing Engine
Chapter 10: The Blueprint for Production-Ready AI
Chapter 11: Unlock Your Exclusive Benefits

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Book Description
Generative AI is powerful, yet often unpredictable. This guide shows you how to turn that unpredictability into reliability by thinking beyond prompts and approaching AI like an architect. At its core is the Context Engine, a glass-box, multi-agent system you’ll learn to design and apply across real-world scenarios.
Written by an AI guru and author of various cutting-edge AI books, this book takes you on a hands-on journey from the foundations of context design to building a fully operational Context Engine. Instead of relying on brittle prompts that give only simple instructions, you’ll begin with semantic blueprints that map goals and roles with precision, then orchestrate specialized agents using the Model Context Protocol. As the engine evolves, you’ll integrate memory and high-fidelity retrieval with citations, implement safeguards against data poisoning and prompt injection, and enforce moderation to keep outputs aligned with policy. You’ll also harden the system into a resilient architecture, then see it pivot across domains, from legal compliance to strategic marketing, proving its domain independence.

By the end of this book, you’ll be equipped with the skills to engineer an adaptable, verifiable architecture you can repurpose across domains and deploy with confidence.

https://learning.oreilly.com/library/view/context-engineering-for/9781806690053/