Multi-Agent System

Multi-Agent System

Term explanation

Definition and meaning

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.

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Other glossary terms

Community Events

Community events bring together groups of people around a shared interest, cause, or location — such as neighborhood gatherings, club meetups, open-source contributor conferences, or industry user groups. Unlike corporate events, community events are often grassroots, volunteer-driven, and focused on connection rather than commercial objectives. They play an important role in building belonging, sharing knowledge, and sustaining networks of people with common goals or values.

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Extemporaneous Speech

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. .

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Listening

Listening 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.

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Open Questions

Open 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.

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