Learn how to build production-grade observability for AI agents. Covers behavioral monitoring, anomaly detection, performance baselines, and automated containment protocols.
A technical guide to autonomous agent systems for engineering leaders. Covers architecture patterns, security requirements, observability, and decision frameworks for when agents are the right choice.
Implementation guide for human-in-the-loop AI systems. Where to place checkpoints, avoid rubber-stamping, and calibrate oversight over time.
Technical guide to agentic RAG systems. Learn when basic retrieval fails, how agents improve RAG, and architectural patterns for production deployment.
A practitioner's guide to choosing between LangGraph, CrewAI, and Microsoft's unified agent stack. Learn when each framework excels and where they break down.
