Term explanation
Human-in-the-loop (HITL) refers to a design pattern in AI systems where a human is involved at specific decision points to review, approve, or correct the AI's actions before they are executed. Rather than running fully autonomously, the system pauses at predefined checkpoints and waits for human confirmation — particularly for high-stakes or irreversible actions. HITL works alongside AI guardrails as a key governance principle in enterprise Agentic AI, balancing the efficiency of automation with accountability and human judgment.
LIZ AI supports configurable human-in-the-loop workflows: teams can define exactly where they want to review and approve AI-generated presentation content before it is distributed — keeping full control without giving up the benefits of automation.
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 moreAn AI agent is a software system that perceives its environment, reasons over context, and autonomously takes actions to achieve a defined goal — without requiring a human to trigger each individual step. Unlike a chatbot that responds to a single prompt, an AI agent plans, executes multi-step tasks, uses tools, and adapts based on the results it observes. AI agents can operate independently or as part of larger multi-agent systems, and are increasingly embedded in enterprise software to automate complex workflows across departments.
Learn moreAI hallucination describes the phenomenon where an LLM confidently produces content that is factually incorrect, fabricated, or entirely made up — presented as though it were true. Hallucinations occur because language models generate statistically probable text based on training patterns, without access to verified facts. In enterprise contexts, hallucinations in presentations are a serious risk. AI grounding — anchoring outputs to verified company data — is the primary strategy for preventing hallucinations in production AI systems.
Learn moreListening 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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