Local-First AI Shopping Platform

Modern e-commerce interfaces are built to maximize platform revenue, not buyer efficiency — ads, dark patterns, algorithmic recommendations, and engagement loops pile onto every purchase, even for someone who already knows exactly what they want or which handful of brands they trust. The overhead of shopping (cookie prompts, upsells, fake urgency, inconsistent search) often costs more time and attention than the purchase itself deserves.

This flips that model: a local desktop app where the user configures their trusted brands and categories, and the platform aggregates real retailer catalogs to fill in the rest — with a local AI agent that understands personal taste, handles discovery, and surfaces options rather than pushing engagement. The user owns their preference data and purchase history; the platform optimizes for getting to a finished transaction, not for time spent browsing.

Aimed first at tech-literate, privacy-aware repeat buyers who already use ad-blockers and already know their handful of trusted retailers — people already opting out of the mainstream shopping experience wherever they can.