AI Evaluation: Tools, Techniques, and Best Practices for 2026
Master AI evaluation with proven frameworks, tools, and practices that reduce production failures by 60% and accelerate deployment cycles.
ai-evaluation llm-testing
I write about engineering decisions, automation, infrastructure, and the projects I build.
Master AI evaluation with proven frameworks, tools, and practices that reduce production failures by 60% and accelerate deployment cycles.
How role-based prompt engineering drives 40% accuracy gains and reduces enterprise AI costs by up to 98%
Leadership guide to avoiding the 60-95% failure rate by building foundational data capabilities before AI deployment
A lightweight, high-performance monitoring system built with Go, React, and TimescaleDB.
A secure, non-privileged approach to running containerized services on a home server.