Manuscript Speech

Manuscript Speech

Term explanation

Definition and meaning

For a manuscript speech, the speaker has an entire manuscript to read from. The benefit is that, as every single word is scripted, no important parts will be missed. However, speeches that are fully written down often seem unnatural and may bore the audience.

SlideLizard CREATOR lets speakers manage their slide content and notes centrally — so supporting slides are always current and aligned with the spoken manuscript, across every presentation.

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Other glossary terms

Agent Memory

Agent memory refers to an AI agent's ability to retain and recall information across tasks and sessions. Two types are commonly distinguished: short-term memory, which holds context within a single agent loop interaction, and long-term memory, which persists across sessions and stores facts, preferences, and historical decisions. Memory is what transforms a stateless AI tool into a context-aware agent that produces increasingly relevant results over time — a core requirement for production Agentic AI deployments.

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.potx file extension

A .potx file is a file which contains, styles, texts, layouts and formatting of a PowerPoint (.ppt) file. It's like a template and useful if you want to have more than one presentation with the same formatting.

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Chain of Thought

Chain of thought is an AI reasoning technique in which a model explicitly works through intermediate steps before arriving at a final answer. By laying out its reasoning step by step, the model produces more accurate and reliable outputs — especially for complex, multi-part problems. In agentic AI systems, chain-of-thought reasoning is used to plan workflows and make decisions at each stage of an agent loop. For enterprise applications, it increases transparency and makes AI behavior easier to audit.

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Task Decomposition

Task decomposition is the process by which an AI agent breaks down a complex, high-level goal into a sequence of smaller, manageable subtasks. The agent identifies dependencies between steps, determines what tools or data each step requires, and decides which subtasks can run in parallel. Task decomposition is a fundamental capability of Agentic AI systems and is central to how an agent loop executes multi-step workflows reliably.

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