Building AI Systems That Survive Production
A practical framework for moving beyond model demos to reliable AI products with measurable operational value.
Writing about systems that work in the real world.
Articles by Arthur Sedek about production AI, machine learning, scientific computing, cloud architecture and full-stack product engineering.
Designing Natural Language Interfaces for Geoscience Analytics
Architecture and safety principles for connecting language models to professional scientific analysis tools.
Evaluating Hybrid RAG Systems Beyond Answer Accuracy
A practical evaluation framework for retrieval quality, citations, grounded generation, safe abstention and production monitoring.
Choosing the Right AI Architecture for a Real Product
A practical guide to choosing between deterministic software, predictive machine learning, RAG and agent-based systems.
Computer Vision from Prototype to Production
A practical lifecycle for building computer vision systems that remain accurate, observable and useful under real operating conditions.
Responsible AI as a Practical Engineering Discipline
How to turn responsible AI principles into concrete requirements, controls, evaluations, interfaces and operational practices.