Term explanation
Prompt-to-deck describes the process of generating a complete presentation from a short natural language instruction. The user provides a prompt — a topic, goal, or brief description — and a generative AI system produces a full slide deck including structure, content, and layout. Advanced prompt-to-deck systems go beyond simple templates: they pull in live data, apply brand guidelines automatically, and produce results comparable to a full AI presentation maker. The term is used interchangeably with "text-to-presentation."
LIZ AI's Smart Presentation Composer turns prompts, documents, and data into complete, brand-compliant PowerPoint decks — without manual slide-by-slide editing.
Learn more →Agentic Slides are presentation slides that autonomously respond to changes in connected enterprise systems. Rather than being static documents, Agentic Slides pull live data from sources like CRM, ERP, or BI tools and update their content automatically. When KPIs shift or new information becomes available, the relevant slides are refreshed without manual effort. The concept makes presentations a living part of an organization's data infrastructure.
Learn moreListening is a very important part of communication. To be good in communication you need to be a good listener. That doesn't mean just hearing what the other person is saying. But you need to listen active, engage your mind and intently focus on what your talking partner is saying.
Learn moreOpen questions invite a full, unrestricted response rather than a simple yes or no. They typically begin with words like 'how', 'what', 'why', or 'tell me about'. In presentations, coaching, interviews, and research, open questions encourage deeper thinking, surface underlying perspectives, and generate richer dialogue. They are essential for understanding audience needs, facilitating discussions, and building engagement during interactive sessions.
Learn moreThe Model Context Protocol (MCP) is an open standard developed by Anthropic in 2024 and widely adopted in 2025 by OpenAI, Google, and Microsoft. It defines a standardized way for AI agents to connect to external tools, data sources, and enterprise systems — without requiring custom integrations for every connection. MCP acts as a universal interface: an AI agent with MCP support can securely access databases, APIs, document repositories, and business applications using a consistent protocol, regardless of the underlying system. This dramatically simplifies how AI is embedded into complex enterprise environments.
Learn more
