Term explanation
Informal communication is spontaneous, unstructured interaction between people that falls outside official organizational channels. It includes hallway conversations, team chat messages, lunch discussions, and impromptu calls. While informal communication is not planned or documented, it plays a vital role in organizational culture — building relationships, sharing tacit knowledge, and enabling faster problem-solving. In remote and hybrid workplaces, replicating the natural flow of informal communication has become an important design challenge.
LIZ AI handles formal presentation standards automatically — freeing teams to focus on the informal, human side of communication. When the deck is always ready, conversations can stay spontaneous.
Learn more →Internal communication is particularly important for corporate communication. It communicates important information from leadership to staff so that they can do their jobs in the best possible way and work processes run well.
Learn moreA 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 moreClosed questions are questions that can be answered with a limited set of responses — most commonly a simple 'yes' or 'no', or a selection from predefined options. They are used to gather specific, factual information quickly and efficiently. In presentations and training settings, closed questions are useful for gauging audience understanding, confirming agreement, or running quick polls. While efficient, they offer little depth and should be balanced with open-ended questions when richer feedback or discussion is needed.
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 more
