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WRKSHP.tools | Storytelling Canvas
Create better stories and presentations in under 45 minutes using the Storytelling Canvas
Substrates conference series - Substrates 2026
An increasing number of researchers see their work as interactive authoring tools or software substrates for interactive computational media. By talking about “authoring tools”, we remove the divide between programmers and users; “software substrates” let us look beyond conventional programming languages and systems; and “interactive computational media” promises a more malleable and adaptable notion of tools for thought we are striving for. This workshop aims to bring together a wide range of perspectives on these matters.
Tangible Functional Programming
Faces: Slides worth presenting
Faces is the AI presentation tool where every slide uses the full power of the web.

Designing Imaginative Environments by Nathan Fowkes
Join industry veteran Nathan Fowkes on a deep dive into the hows and whys of designing environments for entertainment. From creating mood with color and light, to exploring different biomes and weather, to crafting architecture and props, he will teach you how to design amazing environments that make your work stand out from the crowd.

Generative UI: A rich, custom, visual interactive user experience for any prompt
Yaniv Leviathan, Google Fellow, Dani Valevski, Senior Staff Software Engineer, Vishnu Natchu, Principal Engineer, and Yossi Matias, Vice President & Head of Google Research

Generative Agents: Interactive Simulacra of Human Behavior
Believable proxies of human behavior can empower interactive applications ranging from immersive environments to rehearsal spaces for interpersonal communication to prototyping tools. In this paper, we introduce generative agents--computational software agents that simulate believable human behavior. Generative agents wake up, cook breakfast, and head to work; artists paint, while authors write; they form opinions, notice each other, and initiate conversations; they remember and reflect on days past as they plan the next day. To enable generative agents, we describe an architecture that extends a large language model to store a complete record of the agent's experiences using natural language, synthesize those memories over time into higher-level reflections, and retrieve them dynamically to plan behavior. We instantiate generative agents to populate an interactive sandbox environment inspired by The Sims, where end users can interact with a small town of twenty five agents using natural language. In an evaluation, these generative agents produce believable individual and emergent social behaviors: for example, starting with only a single user-specified notion that one agent wants to throw a Valentine's Day party, the agents autonomously spread invitations to the party over the next two days, make new acquaintances, ask each other out on dates to the party, and coordinate to show up for the party together at the right time. We demonstrate through ablation that the components of our agent architecture--observation, planning, and reflection--each contribute critically to the believability of agent behavior. By fusing large language models with computational, interactive agents, this work introduces architectural and interaction patterns for enabling believable simulations of human behavior.

Minimum Viable Demos
An evening showcase of ambitious projects exploring technology, art, and science.

MCP-UI | Interactive UI for MCP
Interactive UI for MCP - Build rich, dynamic interfaces with MCP-UI

Weaving Narratives into Procedural Worlds
Examining the value, characteristics, and methods of integrating static narratives into otherwise procedurally generated environments.