Businesses that treat large language models as fancy search boxes — typing a question and hoping for the best — consistently get inconsistent results. The teams getting repeatable, production-grade output from LLMs are not writing better prompts on the fly; they are engineering the complete context the model receives …

A consistent finding across AI adoption surveys is that the gap between AI experimentation and production deployment is wide — and most of what sits in that gap is not a technology problem. According to O'Reilly's AI Adoption in the Enterprise research, data quality and use-case identification are each cited as top …

The owner of a ten-person accounting firm decided it was time to "use AI." She bought three subscriptions, signed up for a chatbot, and asked her team to "try things out." Six months later, two people used one tool occasionally, the other subscriptions went untouched, and no one could say whether anything had improved. …