Term explanation
The Theory of knowledge (TOK) presentation is an essential part of the International Baccalaureate Diploma Program (IB). The TOK presentation assesses a student's ability to apply theoretical thinking to real-life situations.
LIZ AI supports structured, argument-driven presentations by composing content from your sources and ensuring every claim is grounded in accurate, verifiable data — not AI-generated guesswork.
Learn more →An autonomous agent is an AI system that independently pursues goals, makes decisions, and executes tasks over time — without requiring continuous human direction. What distinguishes an autonomous agent from a simple automation script is its ability to reason, adapt to new information, and handle unexpected situations. Autonomous agents track progress toward a goal across multiple steps and sessions, making them suitable for complex enterprise workflows such as automated reporting, content updates, and communication management.
Learn moreAn AI-powered workflow is a business process in which artificial intelligence automates one or more steps that would otherwise require manual work. This can range from simple rule-based automation to fully autonomous agents that plan, execute, and adapt in real time. In communication and marketing teams, AI-powered workflows are used to streamline content production, approval processes, and distribution — reducing time-to-delivery and freeing teams for higher-value work.
Learn moreOpen educational resources (OER) are teaching, learning, and research materials that are freely available for anyone to use, adapt, and redistribute. OER include textbooks, course materials, videos, lesson plans, and assessments released under open licenses such as Creative Commons. The OER movement aims to reduce barriers to quality education by making materials accessible regardless of geography or financial means. Organizations and universities worldwide contribute to and maintain large repositories of OER.
Learn morePrompt engineering is the practice of crafting and refining the instructions given to an AI system in order to produce better, more accurate, or more useful outputs. A well-engineered prompt provides clear context, specifies the desired format, and sets constraints that guide the model toward the intended result. In the context of presentation tools, prompt engineering determines how effectively a user can instruct an AI to generate the right slide structure, tone, and content — making it a practical skill for anyone working with generative AI tools.
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