Lessons from building production AI agents, full-stack apps, and automation systems. Written by the engineers who ship them.
A detailed guide to evaluating LLM outputs using exact match, semantic checks, factuality, human review, and production-ready scoring pipelines.
Lessons from shipping multi-agent systems in production — architecture, tool-calling patterns, observability, and the failure modes that actually matter.