Experimental lab
Running live experiments around gathering and creating, using local, community-run AI infrastructure.
GatherRhiza Labs leverages small and local AI to help creators and fans organize in-person gatherings, circulate resources, and build durable networks outside extractive platforms.
Running live experiments around gathering and creating, using local, community-run AI infrastructure.
Decentralized networks that move knowing and resources across communities.
Create artist income from gatherings beyond the reach of extractive middlemen.
“Rhiza” means roots. Mycorrhizal fungi form underground mycelium networks that make forests thrive. The mycelium model here is treated as infrastructure.
Support creative co-generation through spaces where people make, test, and imagine together.
Design community-to-community sharing loops so lessons and support travel laterally, not upward.
Build structures that protect creators and communities from outside capture of value, labor, and attention.
The lab treats gathering as essential to staying human, making art, sharing information without gatekeepers, and building resilient communities that can hold when systems fail.
Face-to-face presence helps people remain alive, grounded, and deeply connected to one another.
New art and new worlds are born in rooms together, without extractors taking the fruits of shared labor.
Gathering is one of the deepest pleasures people still long for. It's critical for promoting mental health and fending off loneliness.
Lasting movements grow from people showing up for each other, face to face, again and again.
Communities can share knowing directly, reducing dependence on algorithms and publications controlled by the powerful.
Community acts as the infrastructure that can keep people held when larger systems break down.
Prototype lightweight agentic workflows for outreach, logistics, reminders, hosting support, and knowledge capture. Sovereign, local AI enables the community to keep the value of its relationships.
Give supporters templates and trust-building structures so gathering does not bottleneck around one central organizer.
Design revenue flows tied to live community energy, with creators benefiting from the value their networks generate.
Each experiment can become a reusable toolkit: gather, observe, notice what worked, and circulate insights back into the wider network.
Test formats for creator-hosted and fan-hosted gatherings in specific communities and places.
Construct playbooks, approaches, and technical supports that reduce friction and preserve joy.
Move lessons laterally so each node can adapt the infrastructure to local conditions instead of copying a one-size-fits-all model.
GatherRhiza Labs sits at the intersection of community design, AI product strategy, media arts, and anti-extraction market thinking.
Expert on antimonopoly and structuring markets to deconcentrate economic and political power and an evangelist for middle-aged women starting rock bands.
Product and GTM specialist in AI and a development leader in Media Arts.