Subscribe
Sign in
Home
AI Data Privacy Book
Events
Archive
About
Latest
Top
Discussions
The Future: Human-Led, Agent-Operated (Article 6)
What the “Agentic Enterprise” actually looks like when you build it right
Dec 1
•
Mario Lazo
The Horror Stories: Turning Dirt to Gold Through Inversion (Article 5)
Air Canada, Samsung, NYC MyCity, and the $1 Chevy Tahoe—What failure teaches us about success
Dec 1
•
Mario Lazo
The Method: Don’t Automate Chaos—Streamline, Empower, Delight (Article 4)
Before you automate it, make sure it’s worth automating
Dec 1
•
Mario Lazo
The Team: Stop Hiring PhDs. Start Finding People Who Hate Your Expense Report Process (Article 3)
You don’t need more Data Scientists. You need “Global Process Owners.”
Dec 1
•
Mario Lazo
The Map: Stop Measuring “Smart”—Start Measuring Autonomy, Readiness, and Safety (Article 2)
Why asking “How intelligent is your AI?” is like asking “How loud is the engine?”—it tells you nothing about whether it can drive
Dec 1
•
Mario Lazo
Intelligence ≠ Utility: Why Your Agentic AI Roadmap is Broken (Article 1)
The corporate equivalent of buying running shoes and expecting to win the Olympics
Dec 1
•
Mario Lazo
The Architect's Blueprint for the Agentic Enterprise
A Six-Part Series on Moving from Chatbot Hype to Building Operational Engines That Actually Work
Dec 1
•
Mario Lazo
September 2025
Core Agentic Design Patterns (Part 1)
Your Toolkit for Building Real AI. From simple workflows to intelligent agents.
Sep 21
•
Mario Lazo
7. Multi-Agent Collaboration - Building Teams of AI Agents That Work Together
The AI Dream Team. Assemble specialized agents to tackle complex problems collaboratively.
Sep 21
•
Mario Lazo
6. Planning - Decomposing Big Problems into Solvable Steps
Planning is The Architect of Your AI. Teach agents to think before they act.
Sep 21
•
Mario Lazo
5. Tool Use — Extending AI's Reach to the Real World
Tool Use Agentic Pattern is Giving Your AI Hands. Connect LLMs to data, APIs, and the real world.
Sep 21
•
Mario Lazo
4. Reflection - Teaching Your AI to Double-Check Its Work and Improve Its Own Quality
Reflection is the AI That Double-Checks Its Own Work. Move from "first draft" quality to "final polish" reliability.
Sep 21
•
Mario Lazo
This site requires JavaScript to run correctly. Please
turn on JavaScript
or unblock scripts
