Prompt Engineering
Prompt 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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Pop-up Events
Pop-up events are temporary, often spontaneous gatherings organized quickly and held for a limited time in unexpected or unconventional locations. They are used in retail, marketing, arts, and community organizing to create a sense of exclusivity and surprise. Pop-up events require rapid logistics coordination and lean heavily on social media and word-of-mouth for promotion. Their short-lived nature generates urgency and tends to attract higher engagement than regularly scheduled events.
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Agentic AI
Agentic AI refers to artificial intelligence systems that act autonomously to achieve multi-step goals — without requiring a human to trigger each action individually. Unlike traditional AI that responds to single prompts, agentic AI plans, decides, and executes sequences of tasks on its own, often integrating with external tools and data sources. In enterprise settings, agentic AI is increasingly used to automate complex workflows such as reporting, content creation, and communication. In the domain of presentations, this approach is realised through the Large Presentation Model (LPM) — an agentic AI system that orchestrates the entire presentation cycle in an enterprise context.
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External Communication
External communication is the exchange of information between two organisations. For example, it can be an exchange with customers, clients or traders. Feedback from a customer also counts as external communication.
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