The AI Engineer's Production Checklist

A senior-level checklist for taking LLMs, RAG, agents, and evals from prototype to production.

Prototypes are easy. Production is where most AI projects break. This is the field guide our engineers run before every launch to ship systems that survive real traffic, real users, and real cost.

Inside you will find production-ready checks for:

• LLM apps: prompts, fallbacks, cost and latency controls
• RAG: retrieval quality, chunking, grounding and citations
• Agents: tool safety, loops, guardrails and human handoff
• Evals: offline tests, online monitoring and catching regressions
• Ops: observability, versioning, safe rollout and incident response

Print it, run it before every release, and ship with confidence.