TOK Presentation

TOK Presentation

Term explanation

Definition and meaning

The Theory of knowledge (TOK) presentation is an essential part of the International Baccalaureate Diploma Program (IB). The TOK presentation assesses a student's ability to apply theoretical thinking to real-life situations.

LIZ AI supports structured, argument-driven presentations by composing content from your sources and ensuring every claim is grounded in accurate, verifiable data — not AI-generated guesswork.

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Other glossary terms

Living Presentation

A living presentation is a slide deck that continuously updates to reflect the latest data, content, and context — rather than being a static snapshot. Like a living document, it is connected to data sources that feed new information into the slides automatically. Living presentations are a practical implementation of the Agentic Slides concept and are the natural output of data-driven presentation workflows. They are particularly valuable for recurring formats such as management reports and investor updates.

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SmartArt

SmartArt is a built-in feature in Microsoft PowerPoint (and other Office applications) that converts text and data into visual diagrams — such as process flows, hierarchies, cycles, and relationship maps — with a single click. SmartArt removes the need to manually draw and align shapes, making it easy to create professional-looking visuals quickly. It is particularly useful for illustrating organizational structures, project workflows, and strategic frameworks in presentations.

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Instructive Presentations

Instructive Presentations are similar to informative presentations, but it's more than just giving informations. People attend instructive presentations to learn something new and to understand the topic of the presentation better.

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Orchestrator Agent

An orchestrator agent is a specialized AI agent that coordinates and directs the work of other agents — rather than executing tasks directly itself. In a multi-agent system, the orchestrator receives a high-level goal, uses task decomposition to break it into subtasks, assigns them to specialist agents, monitors progress, and assembles the final output. This pattern enables reliable automation of complex, multi-step enterprise workflows.

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