Case Study: The Commons eliminates months of prototyping with Felt AI

The Commons builds restoration maps in half a day with Felt AI

The Commons, a nonprofit dedicated to providing digital services to environmental organizations, faced a significant bottleneck in developing interactive web maps for its FieldDoc platform. Using legacy GIS tools was a slow, cumbersome process that required months of development work to build custom functionality, creating a major barrier for smaller organizations with limited technical resources.

Using Felt's AI Extensions, built on Anthropic's Claude Opus model, The Commons rapidly prototyped and deployed sophisticated interactive mapping applications without extensive coding. Felt reduced development time from months to just half a day's work, allowing the team to efficiently iterate and show clients finished products quickly. This acceleration eliminated costly design sessions and democratized map development for small watershed organizations.

The Commons