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.
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.
4 articles published3 delivery domains coveredWeekly cadence
Recent posts // the archive
4 posts
AI SaaS#ai saas development company#RAG integration
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‑
Backend Platforms#stripe billing implementation saas reconciliation framework#Stripe reconciliation
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.
Backend Platforms#stripe billing implementation saas webhooks checklist#stripe webhooks production checklist
Stripe billing implementation SaaS webhooks checklist for SaaS
A production-ready stripe billing implementation saas webhooks checklist with acceptance criteria, risk controls, and a sprint-scoped handoff to avoid revenue loss and operational
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Choose the right production build path
AI SaaS, LLM/RAG, automation, backend, app, and UI/UX builds shaped around production scope, launch risk, and measurable outcomes.
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// Results
Review proof from real systems
Review shipped work, reliability improvements, automation wins, and production metrics before deciding whether the engagement fits.
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Map the next production step
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