Resources
Plain-language guides from the FutureInSites practice. Start with the definition of an AI agent, then go deeper on how to build one, where AI creates value, and how we got here.
What AI actually is, what it can do, and where it creates value for leaders who don't code. The start-here primer in the FutureInSites series, written for executives and board members.
Read the article →Generative AI is not a sudden breakthrough. It is the scaling of six decades of stacked advances in data science and machine learning. A short history of how today's LLMs got here, and what comes next.
Read the article →An AI agent is a software program with exactly one AI part inside it. A plain-language primer on the six parts of an agent, and how to tell an agent from everything else in the stack.
Read the article →A production AI agent rests on eight discrete decisions: scope, prompt design, model choice, tools, memory, orchestration, interface, and evaluation. A short executive walkthrough of each step.
Read the article →