Notes Page view

Notes Page view

Term explanation

Definition and meaning

The Notes Page view in PowerPoint shows a smaller version of the slide with a small area for notes underneath. In the presentation every slide has it's own space for notes. During the presentation the notes do not appear on screen. They are just visible in the presentation mode.

SlideLizard CREATOR manages speaker notes alongside slide content — centrally, consistently, and always in sync with the latest version of every deck your team uses.

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Other glossary terms

B2C Events

B2C events (business-to-consumer events) are organized experiences designed to engage end consumers directly — such as product launches, brand activations, pop-up experiences, festivals, or public demonstrations. Unlike B2B events, B2C events prioritize emotional connection, entertainment, and brand perception over formal knowledge exchange. They are used to build brand awareness, drive purchase consideration, and create memorable experiences that consumers associate with a product or brand.

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PowerPoint Online

PowerPoint Online is the web version of PowerPoint. You can present and edit your PowerPoint presentation with it, without having PowerPoint installed on your computer. It's only necessary to have a Microsoft - or a Microsoft 365 account.

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.pot file extension

A .pot file is a legacy PowerPoint template format used to define reusable styles, layouts, and formatting for presentations. Like its successor .potx, it allows teams to create multiple presentations that share the same visual identity without starting from scratch each time. The .pot format was replaced by .potx in Office 2007, which introduced an open XML-based structure for improved compatibility.

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AI Agent

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.

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