Agentic Systems Architecture
Architecture, engineering, and infrastructure for production-grade Agentic AI.
Agent Skills as Reusable Software Components: The New Building Blocks of AI Systems
From Tool Calling to Tool Use: Designing Agents That Know When and How to Act
From Prompts to Policies: How AI Agents Decide What They Can and Cannot Do
The Agent Memory Problem: Designing Short-Term, Long-Term and Episodic Memory
The Context Engineering Architecture: How AI Agents Build the Context They Need to Act
The Agentic Cognitive Loop: How AI Agents Plan, Act, Observe and Adapt
The AI Agent Runtime: The Missing Infrastructure Behind Persistent Autonomous Agents
The Anatomy of a Production AI Agent: Model, Context, Memory, Tools, Skills and Runtime