System Designs
Production architectures for AI quality
Reference designs for the systems that produce trustworthy quality signals at scale. Each one comes with a problem statement, an explicit data flow, a walkthrough, tradeoffs, and the metrics you should be tracking.
7 components
7 flows
Offline Eval Pipeline
From prompt PR to a defensible quality verdict in under 10 minutes.
7 components
8 flows
RAG Evaluation Architecture
Score retrieval and generation independently, then jointly.
7 components
8 flows
Agent Evaluation Harness
Reproducible trajectories in containerized environments.
9 components
10 flows
Production Observability for AI Systems
Every request scored, every drift detected, every failure looped back.
7 components
7 flows
CI/CD for Prompt and Model Releases
Shadow → canary → full, with statistical gates the whole way.