Term explanation
Agentic AI refers to artificial intelligence systems that act autonomously to achieve multi-step goals — without requiring a human to trigger each action individually. Unlike traditional AI that responds to single prompts, agentic AI plans, decides, and executes sequences of tasks on its own, often integrating with external tools and data sources. In enterprise settings, agentic AI is increasingly used to automate complex workflows such as reporting, content creation, and communication. In the domain of presentations, this approach is realised through the Large Presentation Model (LPM) — an agentic AI system that orchestrates the entire presentation cycle in an enterprise context.
LIZ AI is built on agentic principles: it orchestrates the entire presentation cycle — from pulling live data to updating slides and enforcing brand compliance — without requiring manual intervention at each step.
Learn more →For a manuscript speech, the speaker has an entire manuscript to read from. The benefit is that, as every single word is scripted, no important parts will be missed. However, speeches that are fully written down often seem unnatural and may bore the audience.
Learn moreFace-to-face communication refers to real-time interaction between two or more people who are physically present in the same location. It is considered the richest form of communication because it allows for immediate feedback and the full range of verbal and non-verbal cues — including body language, facial expressions, and tone of voice. In an increasingly digital workplace, face-to-face communication remains highly valued for building trust, resolving complex issues, and strengthening relationships.
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.
Learn moreBody language is the non-verbal information communicated through physical gestures, posture, facial expressions, eye contact, and movement. In presentations and public speaking, body language plays a critical role in how the speaker's confidence, credibility, and emotional state are perceived. Open posture, deliberate gestures, and sustained eye contact signal confidence and engagement, while crossed arms, fidgeting, and avoiding eye contact can suggest nervousness or disinterest. Presenters who master their body language are generally more persuasive and trustworthy.
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