Technical Articles

Practical Wear OS guides and deep dives into AI engineering, software development, and infrastructure.

•
Wear OSAutomation

How to Trigger a Webhook from a Wear OS Watch

Yes, you can fire a webhook from Wear OS. The useful setup is to configure it on a phone, keep the watch as the deliberate trigger, and be strict about connectivity and credentials.

•
Wear OSTimers

How to Run Multiple Timers on Wear OS

Running one timer is easy. Running several without mixing them up is mostly a labeling and feedback problem, which is where a dedicated Wear OS multi-timer earns its place.

•
Wear OSCounters

How to Use a Tally Counter on Wear OS

A watch is a surprisingly good tally counter because the action can stay local, fast, and one-handed. The main thing to get right is what one tap means and how you avoid accidental counts.

•
Wear OSUtilities

How to Convert Units from a Wear OS Watch

Fixed unit conversions are a good fit for a watch because they can stay local and offline. The real UX win comes from fast input, favorites, and not digging through the same unit list every time.

•
Wear OSSensors

How to Use a Wear OS Watch as an Ambient Light Meter

A Wear OS watch can report ambient light only when the hardware exposes a light sensor to apps. If it does, the watch is useful for relative lux readings, not as a substitute for a calibrated meter.

•
Wear OSSensors

How to Read Barometric Pressure on Wear OS

A watch with a real barometer can track local pressure without a phone or cloud service. The useful part is the trend over time, not overinterpreting one number.

•
AIInfrastructure

Deploying Llama 3 8B on Consumer Hardware

On consumer hardware, local LLM reliability is mostly a memory, context, and concurrency problem. This article keeps the deployment shape deliberately small so failures are easy to see.

•
Wear OSKotlin

Optimizing Recomposition in Wear OS Compose

On a watch, sloppy state handling shows up fast as jank, extra work, and battery cost. The goal is not “zero recomposition”; it is keeping fast-changing state from invalidating more UI than necessary.

•
AIArchitecture

RAG Architecture Patterns for Enterprise

Most RAG failures are not model failures. They come from retrieval, permissions, stale content, or a pipeline nobody can inspect when an answer goes wrong.