Term explanation
An extemporaneous speech is a speech that involves little preparation, as the speaker may use notes or cards to give his talk. It is important that speakers will still use their own words and talk naturally. .
SlideLizard CREATOR ensures the slides behind any presentation — extemporaneous or rehearsed — are always brand-compliant and up to date, so speakers can focus on natural delivery rather than slide preparation.
Learn more →A tutorial is a structured learning resource that guides a learner step by step through a process, concept, or skill. Tutorials can take many forms — written guides, video walkthroughs, interactive modules, or one-on-one coaching sessions. Unlike formal courses, tutorials tend to be focused on practical application, helping learners achieve a specific outcome quickly. They are widely used in software onboarding, technical training, and skill development platforms.
Learn moreAgentic 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.
Learn moreA speech that is given without any preparation, notes, or cards, is called an impromptu speech. It is often delivered at private events (e.g., weddings or birthdays) or for training presentation skills.
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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