Raztom Lab
Case Study

Zerashi

Zerashi is a calm companion for Garmin watches, shaped around wearable UX, emotional context, hardware testing, and pragmatic scope decisions.

BetaA quiet companion for Garmin watches
Role
Wearable product direction, AI-assisted build
Timeline
MVP with hardware testing
Stack
Garmin Connect IQ, device APIs, companion logic
Status
Beta MVP

The Friction

Many smartwatch experiences are built around alerts, dashboards, streaks, and attention capture. Zerashi explores a calmer presence on the wrist.

The Constraints

The project required unfamiliar Garmin Connect IQ development, simulator work, physical device testing, and decisions around platform limitations.

The Solution & Build

I tested which AI models could reason well about Garmin architecture, built the MVP, then validated behavior on a physical Garmin watch to tune time, steps, weather, visits, and calm mode interactions.

The Impact

Zerashi became the clearest example of product judgment in the portfolio: emotional need, technical learning, hardware QA, and a scope decision that protected the launch.