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.
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.
8 articles published4 delivery domains coveredWeekly cadence
Recent posts // the archive
1-5 of 8 posts
LLM/RAG#rag implementation services#retrieval architecture
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.
Cross-Platform#react native vs native app development for saas#react native vs native
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
AI SaaS#saas product flow audit#onboarding friction
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.
LLM/RAG#rag implementation cost#RAG TCO
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.
// Services
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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// Get in touch
Map the next production step
Bring the project shape, constraints, timeline, and risk. We will map the next practical move in one focused scope call.
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