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The Re+filament Farm strategy of 2026
Proving Circularity at the Residential Scale
Proving Circularity at the Residential Scale
The "Proving Residential Circularity" presentation outlines our methodology for demonstrating a closed-loop ecosystem at the neighborhood level. Before scaling up, we are building a "playable feasibility study" at a single home—the Des Moines DevHouse. This active prototype effectively combines a short-term rental to generate revenue with a back-of-house R&D lab dedicated to circular economy innovations. By proving house-scale circularity first, we create a tangible, functional model that partners and stakeholders can evaluate, experience, and trust before committing significant resources to broader initiatives.
The Re+Filament Strategy at a Glance
The Re+Filament Strategy at a Glance
The Re+Filament Farms presentation serves as a comprehensive blueprint for transforming Federal Way’s linear waste streams into a localized, circular economy. It outlines an innovative solution to regional food insecurity and the lack of green-collar jobs by detailing the construction of self-sustaining, automated greenhouse labs built from reclaimed materials and powered by open-source robotics like FarmBot. To bring this vision to life, the deck breaks down a strategic, multi-phased grant roadmap designed to fund both the initial off-site R&D and the ultimate deployment of a community workforce training hub at the South King County Tool Library.
The DevHouse Digital Twin at a Glance
The DevHouse Digital Twin at a Glance
The DevHouse Digital Twin presentation outlines the technical roadmap and software architecture required to build a real-time, interactive simulation of the physical agricultural system. It details a multi-phased evolution—scaling from basic logic models in Scratch MIT up to high-fidelity 3D environments in Unity—all connected by a custom Node.js middleware server. This middleware acts as the crucial "bridge," securely subscribing to live telemetry data (like soil moisture) from physical Edge IoT sensors via MQTT, and translating those metrics through low-latency WebSockets into the digital interface. Ultimately, the deck serves as an engineering blueprint for perfectly syncing real-world hardware data with a dynamic digital replica.
Macro to Micro
Macro to Micro
Everything the city does through massive, fragile, centralized infrastructure ,water collection, waste processing, energy generation, food production, and systems management, can be replicated at the household scale using reclaimed materials, automated robotics, and AI monitoring. The SKTL greenhouse is the neighborhood-scale proof of this model: a roof catches rainwater, recycled plastics become structural components, solar panels generate independent power, a FarmBot grows food with precision, and one AI assistant manages it all. What currently requires 90,000-acre watersheds, thousand-mile supply chains, and hundreds of operators becomes a backyard system managed by a single household. The greenhouse proves it works before the Farmlet product brings it home.
The Community Lab
The Community Lab
Phase 1 is the physical build, a solar greenhouse with FarmBot robotics that doubles as a CNC-style automation training platform, teaching sensors, calibration, and systems thinking through a precision farming robot. Phase 2 is the system it creates, a community lab ecosystem with a workforce pipeline running from beginner to technician to mentor, powered by a local AI server (the Digital Root Cellar) that handles documentation, tutoring, and sensor analysis on-premise. The single build aligns to multiple funding categories simultaneously: STEM, manufacturing, AI, workforce development, and climate resilience. The first build delivers more than a garden, it delivers tools, local data, and replicable curriculum.
SUN ecosystem
SUN ecosystem
The FarmBot Solar Greenhouse is a circular economy in miniature. On the physical side, every input is reclaimed, 15kg of high school plastic waste becomes 3D printer filament, discarded solar panels become off-grid power, and restaurant food scraps become living compost. The automated FarmBot turns those inputs into year-round food production, split equally between food banks, student pantries, and farmers markets. On the digital side, every action at the greenhouse is captured and fed into an AI pipeline that auto-generates curriculum, tracks project progress through a Visual Second Brain, and powers a predictive business simulation engine. Three grants fund three layers: Port of Seattle funds the workforce, 4Culture funds the media and curriculum hub, and AWS Imagine funds the AI cloud backend.
Built on Open-Source Foundations
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