RRUNTIME LABruntime observatory
NNEON · Articles in 90 languagesПозвонить

Problem → evidence → AI system → outcome

AI & Product

How to connect a user problem, a measurable product outcome, and a reliable AI feature grounded in private data.

Chapters
2
Learning tracks
2
PRODUCTION CASES
4

What this sphere covers

Product

metrics · retention · A/B tests

01
  1. CHAPTER 26Product metrics and trustworthy A/B testsEvents → cohorts → decisions

    Turn feature ideas into measurable hypotheses using funnels, retention, conversion, churn, guardrails, and controlled experiments.

AI Engineering

RAG · grounding · evaluation

01
  1. CHAPTER 27RAG: retrieval, grounding, and production safetyIngest → retrieve → rerank → generate → evaluate

    Build a mental model of RAG from document ingestion to cited answers, then learn where retrieval quality, permissions, freshness, latency, and prompt injection fail in production.