Beyond the Demo Dispatch
Practical AI engineering notes for people building beyond the prototype.
A field-note style series on RAG, agents, evals, workflows, observability, and full-stack AI product architecture. No hype — just diagrams, checklists, trade-offs, and implementation direction.
What I write about
Production RAG architecture and evaluation
Agent workflows with approval gates and traces
LLM feature release checklists and failure modes
Full-stack AI product diagrams and teaching notes
Who should follow
Software engineers moving into AI engineering
Students who want project-driven AI learning
Founders and teams trying to ship useful AI features
Workshop hosts looking for practical GenAI sessions
Start with this
AI Feature Shipping Checklist
Before any AI feature goes live, I check retrieval quality, tool safety, eval coverage, logging, fallback behavior, latency, cost, and release readiness. This checklist turns that thinking into a practical review flow.