Field Notes

AI Engineering Notes: LLM, RAG & SaaS.

Practical notes on shipping AI SaaS, LLM/RAG features, workflow automation, backend architecture, and product UI/UX into production — with real tradeoffs, delivery patterns, and production lessons.

9 articles published4 delivery domains coveredWeekly cadence

Recent posts // the archive

1-5 of 9 posts
Managed vs Self-hosted LLM RAG implementation private data — decision matrix cover image
Managed vs Self-hosted LLM RAG implementation private data — decision matrix
Technical decision matrix for CTOs: choose managed or self-hosted LLM RAG for private, regulated data. Includes risk mapping, cost drivers, and a scoping plan.
Igor NepipenkoIgor Nepipenko8 min read
RAG implementation services: pricing & scope for enterprise SaaS cover image
RAG implementation services: pricing & scope for enterprise SaaS
A technical breakdown of rag implementation services for enterprise SaaS: retrieval architecture, evals, citation integrity, SLAs, cost drivers, and a sprint-level scope plan.
Igor NepipenkoIgor Nepipenko8 min read
React native vs native app development for SaaS: practical decision guide cover image
React native vs native app development for SaaS: practical decision guide
A technical, decision-focused comparison for CTOs weighing react native vs native app development for saas when APIs are shared but native UX is required. Includes risks, metrics,迁
Igor NepipenkoIgor Nepipenko8 min read
SaaS product flow audit: fixed-scope pricing for onboarding and redesign cover image
SaaS product flow audit: fixed-scope pricing for onboarding and redesign
Fixed-scope saas product flow audit packages to find onboarding friction, stabilize billing and LLM cost, and scope a validated first paid AI SaaS release with measurable KPIs.
Igor NepipenkoIgor Nepipenko7 min read