Corpus started with a real

Corpus started with a real operational problem.

A shared healthcare practice in Brasília has one consultation room used by different professionals and specialties. What looked like a simple scheduling problem quickly became a coordination problem: checking availability, accounting for transitions between specialties, managing patients, reminders, cancellations and billing.

I built Corpus to absorb that complexity. It turns a fragmented, message-based workflow into one clear scheduling experience, with a time-aware interface, automatic room-transition rules, patient context, cancellation logic and Ask Corpus, a natural-language layer for getting things done without navigating the booking system.

One principle guided the project: AI interprets. The system decides. Natural language makes the experience faster, while availability, conflicts, permissions and billing remain deterministic.

Building this with Lovable was also a genuinely enjoyable experiment in how far a product can be taken within one environment. Beyond the application itself, I used Lovable to build an interactive case study and even a fully code-driven product film, using the same visual language to design not only the product, but also how its story is told.

Explore the interactive case: https://bookingcorpus.lovable.app/case

From “Can I use the room?” to “You’re booked.”

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