Term explanation
The Slide Sorter view in PowerPoint shows thumbnails of all your slides in horizontal rows.The view is useful for applying global changes to several slides at once. Also it's useful for deleting and rearranging slides.
LIZ AI gives you a smarter overview than Slide Sorter. It identifies which slides need data updates, brand corrections, or content revisions — and handles them automatically across your entire deck.
Learn more →The agent loop is the core operating cycle of an autonomous AI agent. It runs continuously through four phases: Perception (gathering information), Reasoning (planning the next step), Action (executing — such as calling a tool or generating content), and Observation (evaluating the result). The loop repeats until the task is complete or the agent requires human input. This is the mechanism behind Agentic AI systems — it is what allows agents to handle complex, multi-step tasks that a single prompt-and-response model could not.
Learn morePrompt engineering is the practice of crafting and refining the instructions given to an AI system in order to produce better, more accurate, or more useful outputs. A well-engineered prompt provides clear context, specifies the desired format, and sets constraints that guide the model toward the intended result. In the context of presentation tools, prompt engineering determines how effectively a user can instruct an AI to generate the right slide structure, tone, and content — making it a practical skill for anyone working with generative AI tools.
Learn moreMaster 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.
Learn moreA multi-agent system is a setup in which several autonomous AI agents work together, each handling a specific part of a larger task. The agents can communicate, divide work, and combine their outputs to achieve goals that would be difficult for a single model. Typically, an orchestrator agent coordinates the workflow while specialist agents execute defined subtasks. In enterprise contexts, multi-agent systems allow complex workflows — such as researching a topic, drafting content, checking compliance, and distributing a presentation — to be fully automated.
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