The gap between AI experimentation and production is where most teams fail. This is where we close it. Weekly thinking on enterprise AI architecture, agent systems, and responsible deployment — for the people who have to make it work.
State Is the Hard Part: Building Memory and Persistence Into Production Agent Systems
Your agent demo remembered everything. Your agent in production forgot the customer's name three messages in. The difference is not the model. It is the architecture you did not build
Why Your AI Governance Framework Is Already Obsolete — And What to Build Instead
Eighty percent of AI projects still fail — roughly twice the failure rate of ordinary IT projects. The frameworks were supposed to fix that. They haven't.