prompt-injection

Coverage of how attackers manipulate language model behavior by smuggling instructions through user input, retrieved documents, tool outputs, or any untrusted text an agent reads. Posts examine the attack surface in real systems, why traditional input validation falls short when the payload is natural language, and the defensive patterns that hold up: privilege separation, output sanitization, trust boundaries, and treating every external input as hostile by default.

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.