Now live for all trial users and active customers, Experience Generator turns a described idea into an original, touch-ready interactive experience that is published to the web, editable in a browser, and fully supported by the rest of the Intuiface platform.
Intuiface, a platform for designing, connecting, and scaling interactive experiences for physical spaces, today announced the general availability of Intuiface Experience Generator, an AI-powered experience creation engine that turns natural-language intent into original, touch-ready interactive content.
Designed for teams creating interactive experiences for museums, retail environments, visitor centers, corporate spaces, and other public venues, Experience Generator enables users to describe what they want an experience to achieve and receive a fully interactive result that integrates with the entire Intuiface ecosystem. Immediately published to the web, this experience is accessible via a web-hosted editor that enables real-time modification. Additional options include deploying the experience to Intuiface Player on any of Player’s supported operating systems, or finer-grained editing via Intuiface Composer.
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AI Innovation Under the Covers
Experience Generator is not a template selector, static mockup generator, or simple LLM wrapper. This general availability release marks a major leap beyond its beta version, which selected and tuned templates in response to user prompts. The new version builds original experiences from the ground up, including full architecture, layout, connections, and content.
To achieve this, at the core of Experience Generator is an agentic architecture. Rather than asking a single large language model to generate an entire experience in one monolithic step, Intuiface has developed a suite of specialized AI agents. Each agent encodes best-practice knowledge for its role and collaborates with the others to interpret intent, structure the experience, make content and interaction decisions, and produce a functioning result.
This distinction matters because interactive experiences are not simple documents or collections of generated assets. They require coordinated decisions about audience flow, content hierarchy, visual organization, navigation, interaction patterns, logic, and the physical environment in which the experience will be used. By distributing that work across specialized agents, Experience Generator provides a more resilient and scalable foundation for creating well-architected interactive experiences.
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“Experience Generator lets teams describe the interactive experience they want to create and receive a working, interaction-ready result in return,” said Alban Hermet, Head of Product, Intuiface. “It is designed to bootstrap original interactive experiences that can be published, edited, deployed, and fully refined in the overarching Intuiface platform.”
Foundation for Composer Next Gen
Experience Generator is best understood as an AI-enabled accelerator and project bootstrap, the first mile of experience creation. Composer remains the premier tool in the Intuiface ecosystem for editing and refining interactive experiences. It enables teams to control visuals, logic, data, integrations, behavior, and deployment-ready details with precision.
That said, Experience Generator isn’t just an end in itself. It is the first fully architected step toward Composer Next Gen, Intuiface’s future web-based evolution of Composer.
Composer Next Gen will combine the AI-enabled acceleration introduced by Experience Generator with a powerful, fully web-hosted editor that enables total manual control. The goal is not to replace professional authoring with AI, but to bring AI-assisted editing and precise manual editing together in a single modern browser-based creation environment.
Creators will be able to move fluidly between AI-enabled and manual editing: asking AI to generate, revise, restructure, or improve part of an experience, then immediately taking direct control over visuals, layout, content, logic, integrations, and behavior. Experience Generator lays the foundation for that future: a browser-based authoring model in which AI acceleration and complete manual control coexist.
