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.

6 articles published4 delivery domains coveredWeekly cadence

Recent posts // the archive

1-5 of 6 posts
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
RAG implementation cost: TCO linking retrieval, permissions, ownership cover image
RAG implementation cost: TCO linking retrieval, permissions, ownership
A technical TCO model for RAG implementation cost that links retrieval quality, permissions, and operational ownership to dollarized outcomes and a fixed-scope first sprint.
Igor NepipenkoIgor Nepipenko7 min read
AI SaaS development company: agency vs boutique studio vs freelancer cover image
AI SaaS development company: agency vs boutique studio vs freelancer
A technical guide for CTOs comparing agency, boutique studio, and freelancer options when hiring an ai saas development company—focus on risk, cost drivers, and a measurable first‑
Igor NepipenkoIgor Nepipenko7 min read
Stripe billing implementation SaaS reconciliation framework cover image
Stripe billing implementation SaaS reconciliation framework
A practical 5-step framework for building a production-grade Stripe reconciliation pipeline for SaaS: ledger design, webhook hardening, mapping, exception flows, and monitoring.
Igor NepipenkoIgor Nepipenko7 min read