Term explanation
Vertical communication means that information is passed from one person to the next according to a linear system based on their titles. This type of communication is used when a company follows a hierarchical structure or for important, sensitive information.
LIZ AI supports vertical communication by ensuring leadership decks and board presentations are always data-accurate, brand-compliant, and ready to deliver — without the manual preparation burden on executive teams.
Learn more →Prompt 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 moreA .potx file is a file which contains, styles, texts, layouts and formatting of a PowerPoint (.ppt) file. It's like a template and useful if you want to have more than one presentation with the same formatting.
Learn moreAn AI-powered workflow is a business process in which artificial intelligence automates one or more steps that would otherwise require manual work. This can range from simple rule-based automation to fully autonomous agents that plan, execute, and adapt in real time. In communication and marketing teams, AI-powered workflows are used to streamline content production, approval processes, and distribution — reducing time-to-delivery and freeing teams for higher-value work.
Learn moreAn autonomous agent is an AI system that independently pursues goals, makes decisions, and executes tasks over time — without requiring continuous human direction. What distinguishes an autonomous agent from a simple automation script is its ability to reason, adapt to new information, and handle unexpected situations. Autonomous agents track progress toward a goal across multiple steps and sessions, making them suitable for complex enterprise workflows such as automated reporting, content updates, and communication management.
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