How It Works

The Problem

Household work is invisible. You can't delegate what you can't name. AI agents and robots can't help with tasks that aren't structured, shareable, or even acknowledged.

The Solution

dwellsmith builds the coordination layer for household automation:

• → Capture invisible work as structured data
• → Create shareable workflows and ontologies
• → Build the interface between humans and AI agents
• → Enable true household automation

Real Example: Thanksgiving 2025

Using my cooking-with-claude system, I planned a 7-dish Thanksgiving meal. Here's what making invisible work visible actually looks like:

Breaking one complex meal into structured tasks across 4 days. Hour-by-hour timeline. Storage locations for each ingredient. Exact prep vs. assembly division. That's 50+ invisible micro-decisions made visible and shareable.

This is what household AI needs: Structured workflows, explicit timing, ingredient locations, task dependencies. You can't delegate to an AI agent what you can't articulate to a human collaborator.

The Future

Household AI agents that actually work. Digital assistants that know to reorder toilet paper. Robots that understand your home maintenance schedule. But first: we have to make the invisible visible.