Ecosystem

An AI business-intelligence layer over the billing data of a multi-site operation: a single analytical view over sales, products, customers, and stock —with its own history independent of the point-of-sale system— that not only says what happened, but explains why and suggests where to act.

Presents a portfolio as an operable desktop —windows, terminal, apps— so exploring someone’s work is an experience rather than a list.

Lets Qwen models be used from tools that speak the OpenAI protocol, without changing the client: an adapter that maps a known interface onto a different provider.

Helps a nutritionist build precision plans on Peru’s official food-composition tables, so every recommendation is backed by a source rather than a rough estimate.

Replaces a group-buying operation that today lives in WhatsApp groups: several buyers pool orders up to the supplier’s minimum lot and reach wholesale pricing without each importing a container.

Turns a passive live audience into players: the crowd takes part from chat in a continuous game loop, with the on-stream overlay layer and its control panel.

Centralizes the US virtual-mailbox and international-shipping operation into Peru: pre-alerts, package consolidation, and warehouses, in one platform instead of relying on external services.

Automates the manual work of pulling vertical cuts from a live stream: it captures the broadcast, lets you mark and edit the clip, and readies it to publish, all on the machine itself.

Assists a legal professional under a hard constraint: every answer must trace back to a verifiable source, never an unsupported claim.

Brings tax training onto a course platform: enrollments, profiles, and content, with access to each row governed by row-level rules rather than by the screen.