Accessible through a web browser, the platform allows workers to create and share "micro-applications"—small, specialized software tools—that use a company's specific internal data to conduct research and generate documents.
According to Cloudflare CEO Matthew Prince, the system aims to move AI out of specialized silos by enabling every employee to build and iterate on tools without technical expertise.
This approach is intended to remove the "developer bottleneck," a situation where business progress is stalled because only specialized software teams can build necessary tools.
Because the framework is open source and runs on the organization's own account, companies maintain complete ownership of their internal processes and avoid being locked into a single vendor's closed product.
The platform includes built-in security through a zero trust model, which is a security framework that requires every user and device to be strictly verified before they can access the network.
Administrators can also manage performance and costs using an AI gateway that routes tasks to different providers depending on the difficulty of the job.
This mechanism allows organizations to use smaller, efficient models for routine chores while reserving high-reasoning "frontier models"—the most advanced and powerful AI systems available—for complex challenges.