ai-architecture

Design decisions that determine whether AI systems hold up in production. This tag covers the structural patterns behind agentic and LLM-powered applications: how components are arranged, how state and context flow, where failures originate, and which assumptions quietly break systems as they scale. Expect concrete patterns, anti-patterns, and trade-offs drawn from building real deployments rather than reference diagrams that never meet load.

Balance scale comparing one large AI model against many small routed models in an agentic AI system

agentic-ai, ai-system-design, llm-safety, prompt-injection, ai-architecture, model-routing

Six Fallacies That Break Agentic AI Systems (And How to Design Around Them)

Six false assumptions break most agentic AI systems before they scale. This post names each fallacy, documents the real-world damage it causes, and outlines the design patterns that prevent it.