AI Agentic System
A 7-layer architectural blueprint for building reliable, observable, and scalable agentic AI systems in production.
A reference architecture and implementation blueprint for production agentic AI systems. Defines 7 architectural layers from task decomposition to evaluation with working code examples for each layer.
Problem
Teams building agentic AI systems from scratch repeatedly encounter the same failure modes: no observability, no error recovery, no evaluation. There was no opinionated reference architecture to build from.
Solution
A 7-layer framework covering: (1) Task decomposition, (2) Tool design, (3) Memory management, (4) Error recovery, (5) Observability, (6) Human-in-the-loop gates, and (7) Evaluation pipelines with a LangGraph implementation for each.