Resources · Whitepapers
Deep dives on AI & data in production.
Working documents on RAG systems, autonomous agents, evaluation, and shipping ML that stays reliable - the long-form version of how we build.

Evaluation
Evaluating AI Systems in Production
A deep field guide to evaluating AI systems, centred on LLM-as-a-judge: how judges score, how they fail, how to design and validate one against human labels, and how to wire it into CI without fooling yourself.
Welzin Team · July 19, 2026 · 40 min read
Read the paper →Architecture
Retrieval-Augmented Generation in Production
The implementation guide for teams past the demo: chunking that respects document structure, hybrid retrieval and fusion, re-ranking economics, enforced citations, per-user permissions, latency and cost budgets, and a failure taxonomy that points at the stage to fix.
Welzin Team · July 19, 2026 · 13 min read
Read the paper →Adoption
From Pilot to Production
Most AI pilots do not fail on model quality; they stall on ownership, data access, integration, and an undefined bar for what would have counted as success. A field guide to designing pilots that can be promoted, and the 90-day sequence that gets one into production.
Welzin Team · July 19, 2026 · 11 min read
Read the paper →About these whitepapers
Who writes these?
The senior engineers doing the delivery work, not a content team. They cover what production AI and data systems actually demand - evaluation, monitoring, and the parts that break after launch.
Do I have to give my email to read one?
No. Every whitepaper is readable in full on the page. There is no gate and no form between you and the content.
Can we discuss one of these in our own context?
Yes, and that is usually the more useful conversation. A senior engineer will read the note and reply about your system rather than the general case.
Reading one of these with your own system in mind?
That is the conversation worth having. Bring the architecture and the number it is meant to move, and a senior engineer will read it properly.
Talk to a senior engineer

