Term explanation
A 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.
The architecture behind LIZ AI is built on multi-agent principles: specialized agents handle data retrieval, content composition, brand compliance, and distribution — working in concert to deliver complete, production-ready presentations.
Learn more →B2C events (business-to-consumer events) are organized experiences designed to engage end consumers directly — such as product launches, brand activations, pop-up experiences, festivals, or public demonstrations. Unlike B2B events, B2C events prioritize emotional connection, entertainment, and brand perception over formal knowledge exchange. They are used to build brand awareness, drive purchase consideration, and create memorable experiences that consumers associate with a product or brand.
Learn moreAn internal summary is a brief recap placed within a presentation — not at the end, but midway through — to reinforce key points before moving to a new section. It helps the audience consolidate what they have heard so far and signals a transition to the next topic. Internal summaries are especially valuable in long or complex presentations, where listeners may lose track of earlier content. They improve information retention and help maintain a clear narrative thread throughout the talk.
Learn moreAudience Response Systems (ARS) are technical solutions that are used in presentations in order to increase the interaction between the presenter and the audience. There are various forms of ARS that offer different features.
Learn moreA learning chunk is a small, self-contained unit of educational content covering a single concept or skill. Chunking is a core principle of instructional design: breaking complex topics into manageable segments reduces cognitive load and improves retention. Learning chunks are the building blocks of microlearning programs and modular course structures, and work well in both digital and instructor-led training contexts.
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