Laptop NPUs That Actually Help: Choosing, Testing, and Tuning for Everyday AI
A practical guide to buy, test, and tune a laptop NPU so real tasks—notes, noise removal, captions, and search—run fast, quiet, and private.
Make Your Laptop’s NPU Useful: Practical Workflows, Power Gains, and What to Run Locally
Your laptop has an NPU. Here’s how to pick tasks, route models, and measure power so local AI is fast, quiet, and private.
A Private Voice Assistant for Your Home: Offline Wake Words, Matter Control, and Routines That Stick
Build a fast, privacy‑respecting voice assistant that runs at home, controls Matter devices, and works even when the internet goes down.
Live Translation on Your Laptop: Build a Private, Real‑Time ASR→MT→TTS Pipeline
Turn your computer into an offline interpreter. Capture speech, translate it, and speak it back—fast, private, and good enough for real conversations.
Build Trustworthy AI Workflows in Spreadsheets: Prompts, Caches, Tests, and Privacy
Spreadsheets are where work happens. Here’s how to make AI inside Excel and Google Sheets reliable, auditable, and safe without losing speed.
Shipping AI to the Edge Without Drama: A Practical Guide to Models, OTAs, and Safe Rollouts
A hands-on guide to packaging, updating, and monitoring AI models on devices—without spying on users or breaking your fleet.
The Pocket AI That Stays Private: Building Useful On‑Device Assistants Today
Your next assistant can run offline, protect your data, and still feel fast. Here’s a practical guide to building on‑device AI that earns trust.