AI Agent

AI Agent

Term explanation

Definition and meaning

An AI agent is a software system that perceives its environment, reasons over context, and autonomously takes actions to achieve a defined goal — without requiring a human to trigger each individual step. Unlike a chatbot that responds to a single prompt, an AI agent plans, executes multi-step tasks, uses tools, and adapts based on the results it observes. AI agents can operate independently or as part of larger multi-agent systems, and are increasingly embedded in enterprise software to automate complex workflows across departments.

LIZ AI operates as an AI agent for presentations: it perceives changes in your data, plans the necessary slide updates, executes them across your PowerPoint environment, and adapts — all without waiting for manual instructions.

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Other glossary terms

WWTBAM

Who Wants to Be a Millionaire (WWTBAM) is a popular television quiz format that has been widely adapted as a game-based learning tool in presentations, training sessions, and classroom settings. Participants answer multiple-choice questions with progressively higher stakes, using lifelines for help. Its competitive, high-stakes structure creates engagement and tests knowledge retention in a memorable, entertaining way. Many presentation tools support WWTBAM-style quiz templates directly.

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Audience Response System (ARS)

Audience Response Systems (ARS) are technical solutions that are used in presentations in order to increase the interaction between the presenter and the audience. There are various forms of ARS that offer different features.

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Tutorials

A tutorial is a structured learning resource that guides a learner step by step through a process, concept, or skill. Tutorials can take many forms — written guides, video walkthroughs, interactive modules, or one-on-one coaching sessions. Unlike formal courses, tutorials tend to be focused on practical application, helping learners achieve a specific outcome quickly. They are widely used in software onboarding, technical training, and skill development platforms.

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Vocalized pause

A vocalized pause is a filler sound — such as 'um', 'uh', 'er', or 'like' — used involuntarily by speakers when they pause to think or gather their thoughts. While occasional pauses are natural, frequent vocalized pauses can undermine a speaker's credibility, reduce clarity, and make a presentation feel less polished. Reducing vocalized pauses is a common goal in public speaking coaching, and is typically addressed through practice, conscious awareness, and the deliberate use of silent pauses instead.

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