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

TOK Presentation

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.

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Master view

Master View in PowerPoint allows presenters to edit the Slide Master — a top-level template that controls the default fonts, colors, backgrounds, and layouts applied across all slides in a presentation. Changes made in Master View propagate automatically to every slide that uses that layout, making it the most efficient way to apply brand guidelines and maintain visual consistency across large presentations. Master View is essential for template creation and company-wide design standardization.

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Large Language Model (LLM)

A large language model (LLM) is an AI system trained on vast amounts of text data that can understand, generate, and transform language at a human-like level. LLMs power a wide range of applications — from chatbots and writing assistants to automated document creation and data summarization. In enterprise software, LLMs are increasingly embedded into workflows to interpret unstructured data, draft content, and translate information between systems automatically. In contrast, the Large Presentation Model (LPM) is a specialised AI system that orchestrates the entire presentation cycle in an enterprise context.

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Generative Engine Optimization (GEO)

Generative engine optimization (GEO) is the practice of structuring content and digital presence to improve visibility in responses generated by AI systems — such as ChatGPT, Perplexity, Google Gemini, or Claude — rather than solely optimizing for traditional search engine rankings. Where SEO aims to rank on a results page, GEO aims to be cited inside an AI-generated answer. As AI-generated responses now account for over 60% of all search interactions, GEO has become critical alongside classical prompt engineering strategies for any organization that wants to remain visible in AI-driven search.

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