Agents, under the hood
Orchestration, planning, evaluation, and the choices that shape agent behavior.
The Agentic Architect with Hugo Guerrero
Architecture patterns for agentic systems people can trust.
Notes for the people building the capabilities, context, controls, and operating models behind useful AI agents.
What you’ll find here
APIs, MCP, and events
The machine-accessible capabilities and context that agents can discover and compose.
Real-world systems
Identity, governance, observability, and reliability for agents that need to earn trust.
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From Pong to Minecraft: How GenAI Is Redefining the User Experience
Generative AI shifts enterprise software from predefined workflows to intent-driven experiences—and makes architecture the foundation of UX.
Read the essayLatest articles
View allYour Agents Don’t Need Better Models. They Need Better Plumbing.
Agentic systems usually fail at the integration layer: context, capabilities, identity, and controls—not at the model.
The Agentic AI Race Starts With APIs
API infrastructure offers a strong foundation for agentic AI—but only vendors that treat agents as first-class architectural concerns will lead the transition.
From Pong to Minecraft: How GenAI Is Redefining the User Experience
Generative AI shifts enterprise software from predefined workflows to intent-driven experiences—and makes architecture the foundation of UX.