DeepSlide: New AI Platform for Presentation Creation and Delivery
DeepSlide is a new AI system focused on enhancing the entire presentation lifecycle, from initial planning to delivery, moving beyond the generation of mere visual aids.
What happened?
DeepSlide is a recently presented multi-agent system designed to support the entire presentation preparation process. The system handles everything from requirements gathering and time-budgeted narrative planning to generating storyboards based on source material and providing rehearsal support. Technically, DeepSlide integrates a controllable logical chain planner, a content-tree retriever for fact-based evidence, Markov-like sequential rendering with style inheritance, and sandbox execution to ensure renderability.
Key facts
| Publikationsdatum | 26 maj 2026 |
|---|---|
| Typ av system | Multi-agent system |
| Fokusområde | Presentationsförberedelse och leverans |
| Nyckelfunktioner | Narrativplanering, skriptgenerering, repetitionsstöd |
”Presentations are a primary medium for scholarly communication, yet most AI slide generators optimize the artifact (a visually plausible deck) while under-optimizing the delivery process (pacing, narrative, and presentation preparation).”
”We present DeepSlide, a human-in-the-loop multi-agent system that supports preparing the full presentation process, from requirement elicitation and time-budgeted narrative planning, to evidence-grounded slide--script generation, attention augmentation, and rehearsal support.”
Why it matters
Traditional AI presentation tools have primarily focused on creating visually appealing slides (artefacts). DeepSlide addresses the lack of AI support for the actual delivery process, including time management, narrative structure, and performance support. This potentially streamlines the creation process for researchers and speakers while improving the quality of oral presentations. To evaluate the system, a 'dual-scoreboard' benchmark has been introduced to distinguish between visual slide quality and delivery excellence.
Who is affected?
The system primarily impacts researchers, academics, and anyone who delivers presentations regularly. AI and machine learning developers may find interest in the new methods for multi-agent systems, narrative planning, and content generation. Companies investing in communication and training could also benefit from enhanced presentation tools.
What else you should know
DeepSlide introduces a new methodology for evaluating presentation tools through a dual-scoreboard benchmark, separating static artefact quality from dynamic delivery quality across 20 domains.
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