RhizJournal / Field notes and research
Field notes, protocol notes, research, and evidence from the founder-run work. Written while the thing is still being built, which is the only time the notes are honest.
Rhiz is beginning a measured path toward AI it can operate itself: small models on members' devices, trusted shared workers, and permissioned learning from real outcomes. This charter defines what must be proven before any of those claims become real.
AI can reach tools, talk to other agents, and execute work. It still needs a portable way to carry the human and organizational context around an action: who is involved, what may be known, where authority comes from, what was promised, and what happened.
What is the Rhizomatic Context Protocol, and why do human and AI systems need a governed context layer?
AI has a real environmental cost. So do the systems we stopped noticing. A serious environmental standard has to follow the energy, land, water, materials, pollution, and value created by all of them.
How harmful is AI to the environment compared with transportation, food, industry, buildings, and energy?
Nothing in the product had broken. A calendar-dependent assertion had confused today's corpus with a permanent truth.
What should a test assert when valid system state changes simply because time passes?
