Contribution
Architecture, AI-directed implementation, security review, deployment, and operations.
A file-sharing service I host on my own storage. People use it through a browser, while AI agents can access files through an API with defined permissions.

AI agents working across multiple machines need a dependable way to exchange reports, build artifacts, and intermediate files. General-purpose cloud drives can add account dependencies, subscription costs, internet requirements, and authentication flows designed primarily for people.
Mount Drive Lite provides a small, owner-controlled filespace that both people and AI agents can use through the same storage boundary.
The application is a self-hosted portal over mounted storage. It presents a familiar drive interface while enforcing server-side controls around each user and API client.

Mount Drive Lite can remain inside a local network or be published through an approved HTTPS deployment. In both cases, the mounted storage and access policy remain under the owner's control.

As system designer and reviewer, I defined the storage and permission boundaries, reviewed the AI-produced implementation, and validated that the human interface and agent-facing API followed the same operational model.
Architecture, AI-directed implementation, security review, deployment, and operations.
An AI agent reads the OpenAPI or llms.txt documentation, validates a user-owned scoped API key, discovers allowed paths, and then performs only the file operations granted to that key.