Agent Loop

Agent Loop

Term explanation

Definition and meaning

The agent loop is the core operating cycle of an autonomous AI agent. It runs continuously through four phases: Perception (gathering information), Reasoning (planning the next step), Action (executing — such as calling a tool or generating content), and Observation (evaluating the result). The loop repeats until the task is complete or the agent requires human input. This is the mechanism behind Agentic AI systems — it is what allows agents to handle complex, multi-step tasks that a single prompt-and-response model could not.

LIZ AI's core runs on an agent loop: it continuously perceives changes in your connected data systems, plans the appropriate presentation updates, executes them in PowerPoint, and verifies the result — automatically and repeatedly.

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Other glossary terms

Informal Communication

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.

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Agent Loop

The agent loop is the core operating cycle of an autonomous AI agent. It runs continuously through four phases: Perception (gathering information), Reasoning (planning the next step), Action (executing — such as calling a tool or generating content), and Observation (evaluating the result). The loop repeats until the task is complete or the agent requires human input. This is the mechanism behind Agentic AI systems — it is what allows agents to handle complex, multi-step tasks that a single prompt-and-response model could not.

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Virtual Reality

In a learning context, virtual reality (VR) creates immersive, simulated environments in which learners can practice skills, explore scenarios, or experience situations that would be difficult, expensive, or dangerous to replicate in real life. VR training is used in industries such as healthcare, aviation, manufacturing, and emergency services. By placing learners inside a realistic environment, VR significantly increases engagement, retention, and the transfer of skills to real-world performance.

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Live Online Training (LOT)

Live online training is a synchronous learning format in which an instructor leads a session in real time via video conferencing or webinar platforms. Participants join from different locations and interact with the trainer and fellow learners through chat, polls, breakout rooms, and Q&A. Unlike pre-recorded e-learning, live online training maintains the immediacy and interactivity of in-person training while removing geographic barriers.

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