Choosing a large language model for a business workflow comes down to five variables most buyers never separate cleanly: what the model is actually for, whether it can do the job, what it costs at real volume, how hard it is to wire into existing systems, and how much risk the use case can tolerate. Skip any one of …

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 …