EGO: A Simple Production Checklist for AI Agents

Most AI agent diagrams focus on models, memory, tools, and runtimes.

That is useful, but when moving from a demo to production, I find the bottom layer more important: the cross-cutting systems that help you monitor, evaluate, debug, and keep the agent safe.

I like to summarize this layer as EGO:

• Evaluation: Does the agent actually work?
  feedback, evals, quality checks, performance monitoring, and drift detection

• Guardrails: Does it stay within acceptable boundaries?
  safety, moderation, security, policy, permissions, and risk controls

• Observability: Can we see what happened?
  tracing, debugging, sessions, logs, cost, usage, and latency