Re+filament Farms (draft)

The Re+filament Farm strategy of 2026

The_Re filament_Ecosystem - Extended Version.pptx.mp4

Re+Filament Circular Lab

Federal Way has food insecurity, no green-collar training pipeline, and waste streams going to landfill. The Re+Filament Farms Initiative addresses all three through a two-node strategy: Node A uses the $5,000 NextCycle grant already secured to build and prove the FarmBot greenhouse system off-site through private R&D. Node B deploys that proven system at the South King County Tool Library as a public workforce training hub, funded by stacking the Port of Seattle South King and Port Communities Fund and 4Culture Launch Grant to unlock over $300,000 for stipends, instructor fees, and operational scaling. Proof first, then promises.

The_Federal_Way_Convergence.mp4

From Linear to Circular systems

The current system is linear, waste gets collected and buried, energy flows one direction from distant power plants, and food travels thousands of miles before it reaches a plate. The Re+Filament model closes every loop. Plastic waste from local schools becomes 3D-printed greenhouse components at the Burien Makerspace. Food scraps from Jumping Jambalaya become living compost at SKTL. Discarded solar panels become off-grid power for the entire system. Nothing leaves as waste because everything re-enters as an input. The grant strategy below funds each stage of that transition.

Grant Strategy and Funding Approach

Next Cycle Capacity Building Grant

$5,000

Secured

Tabor 100 - Workforce Development Grant

$10,000

Applied

HEAL Capacity Grant Program

$20,000

Due April 30th

Community Garden Seed Money Grant

$10,000

Open till Sep 30th

4Culture Launch Grant -Intent to apply

$180,000

Due April 16th

Port of Seattle South King Communities Fund

$275,000

Due April 20th

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

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

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.