A nine-point checklist for shipping production-ready AI
TL;DR AI
2 min readKey summary
The article outlines a nine-point checklist for turning an AI prototype into a production-grade research and decision support API.
It highlights key components such as retrieval, safe web access, structured outputs, tracing, and load-safe execution.
The stack spans tools like FastAPI, LangChain, Pydantic, OpenAI, FAISS, BM25, BeautifulSoup, OpenTelemetry, httpx, and tenacity.
The main takeaway is that dependable AI systems need strong guardrails, observability, and cost-aware operational controls under real traffic.