The EU AI Act became law in 2024, and even if you're not in Europe, it's going to affect how you build with AI. In this episode, Sam and Mac break down the world's first comprehensive AI regulation—from banned applications to high-risk use cases that require strict oversight.

What you'll learn:

• The four-tier risk framework: unacceptable, high, limited, and minimal risk
• Why this matters for your AI projects (hint: think GDPR's global impact)
• How enterprises balance innovation with compliance
• Practical implementation strategies from the frontlines
• What "the right to be forgotten" means when data is baked into neural networks

Whether you're building AI applications, leading data teams, or navigating enterprise AI governance, this episode gives you the framework to implement AI responsibly while maintaining innovation velocity.

Timeline rollout: Bans effective early 2025, general purpose AI requirements mid-2025, full high-risk compliance by mid-2026.

Mac and Sam break down Model Context Protocol (MCP)—the universal standard transforming how AI connects to tools, data, and workflows. Think of it as the "USB-C moment" for AI: plug-and-play integration that eliminates custom builds for every system.

Discover what MCP actually is, how it enables seamless AI connections across your tech stack, real-world use cases for developers and enterprises, and why regulated industries are taking notice.

Key Topics:

• The shift from custom integrations to standardized protocols
• Practical implementation strategies
• Enterprise and regulated industry applications
• What MCP solves (and its limitations)

Perfect for: AI developers, enterprise teams, tech leaders in regulated industries, and anyone curious about the future of AI tooling.

Key Insight: MCP isn't about making AI smarter—it's about making AI connections smarter.

Resources: MCP documentation, weekly insights, and community links at asembleai.substack.com

Discover why the future of AI isn't one "super agent" but coordinated teams of specialized agents working together. We explore Agent-to-Agent (A2A) communication—the protocol enabling AI agents to collaborate on complex tasks.

Learn how A2A frameworks are transforming AI from isolated demos into production-ready organizations, the essential components of multi-agent systems, and why oversight mechanisms are critical for deployment.

Key Topics:

• Why single agents fail at complex workflows
• A2A protocols and collaboration frameworks
• Building production-ready agent teams
• Real-world applications and risk management

Perfect for: AI engineers, technical leaders, product managers, and anyone building with AI agents.

Resources: A2A Framework documentation, weekly AI insights newsletter, and community links at asembleai.substack.com