In under 24 hours, I used Framer’s AI Agent to build an interactive, map-driven platform that brings attention back to America’s public lands (places that are increasingly vulnerable to both environmental pressure and the growing expansion of AI/data infrastructure).
This project combines real-time data, historical imagery, and AI-generated structure to turn exploration into action.
Used Framer’s AI Agent to design the full CMS schema from curated public lands and conservation data
Generated custom components powered by live APIs (WeatherAPI + Yelp) to surface real-time conditions, nearby places, and trip context
Built an interactive U.S. map experience that turns public lands into discoverable, explorable destinations
Auto-generated page structure, breakpoints, and responsive behavior using Framer’s AI tools
Created all site microcopy, metadata, and narrative content using AI-assisted generation for speed and consistency
Integrated open-source historical imagery from the Smithsonian to ground each place in cultural and artistic history, featuring real art from real artists inspired by our beautiful public places
This is a living atlas of public lands. It was designed to shift attention from passive scrolling to real-world exploration. It reframes public lands not as static destinations, but as living systems worth experiencing, protecting, and returning to.
At its core, the project uses AI not just as a building tool, but as a way to redirect attention back to the physical world: toward places that are becoming more fragile, more visited, and in some cases, increasingly shaped by the same technological systems that now compete with them for land, power, and visibility.
In under 24 hours, I used Framer’s AI Agent to build an interactive, map-driven platform that brings attention back to America’s public lands (places that are increasingly vulnerable to both environmental pressure and the growing expansion of AI/data infrastructure).
This project combines real-time data, historical imagery, and AI-generated structure to turn exploration into action.
Used Framer’s AI Agent to design the full CMS schema from curated public lands and conservation data
Generated custom components powered by live APIs (WeatherAPI + Yelp) to surface real-time conditions, nearby places, and trip context
Built an interactive U.S. map experience that turns public lands into discoverable, explorable destinations
Auto-generated page structure, breakpoints, and responsive behavior using Framer’s AI tools
Created all site microcopy, metadata, and narrative content using AI-assisted generation for speed and consistency
Integrated open-source historical imagery from the Smithsonian to ground each place in cultural and artistic history, featuring real art from real artists inspired by our beautiful public places
This is a living atlas of public lands. It was designed to shift attention from passive scrolling to real-world exploration. It reframes public lands not as static destinations, but as living systems worth experiencing, protecting, and returning to.
At its core, the project uses AI not just as a building tool, but as a way to redirect attention back to the physical world: toward places that are becoming more fragile, more visited, and in some cases, increasingly shaped by the same technological systems that now compete with them for land, power, and visibility.
Liz Rose Chmela