Glossary

An AI agent is a system that autonomously breaks a goal into steps—calling tools, reading results, and adjusting course—without waiting for a human prompt.

An AI copilot is a model-powered assistant embedded in workflows—such as code editors, email clients, or design tools—that suggests next actions while...

AI evaluation is the practice of systematically measuring an AI system’s performance against defined criteria—accuracy, latency, cost, safety, and user...

AI governance comprises the policies, processes, and technical controls that organizations use to manage the risks of AI deployment, from deciding...

AI strategy is an organization’s plan for how it will use—and what it will not use—AI to achieve business outcomes, answering concrete questions about...

AI for marketing leverages language models, predictive analytics, and automation to accelerate traditional workflows like content creation, audience...

Accretive software refers to AI platforms that automatically absorb model improvements as margin expansion by treating models as interchangeable components...

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Agentic AI refers to systems that autonomously pursue goals—planning actions, employing tools, and adapting based on feedback—without waiting for human...

Agentic workflows are multi-step AI processes where the system autonomously plans, executes, and iterates tasks—researching, drafting, reviewing, and...

Chain-of-thought prompting, introduced by Google Research in 2022, transforms AI from an answer machine into a reasoning partner by explicitly modeling the...

A context window is the maximum amount of text a language model can process in a single call—input and output combined—measured in tokens.

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Conway’s Law states that organizations designing systems are constrained to produce designs mirroring their own communication structures.

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