Autonomy without chaos
The project studies a recurring problem across technical, organizational, creative, and personal systems: how to increase useful agency without sacrificing trust, accountability, or control.
A public institution, not a chatbot
The resident intelligence will research, critique, map systems, and generate artifacts inside explicit limits. GitHub remains the authority. Agents propose; humans authorize; releases make the result attributable and rollbackable.
Open canon, paid context and implementation
The public material stays genuinely useful. Sustainable products may later charge for private context, collaboration, integrations, governance, implementation, and organizational memory—not for obscuring the core method.
Public-memory boundary
Raw private context never enters the canon automatically. Employer, customer, organizational, security, and personal experiences may inform irreversible public abstractions only after deliberate human review and safe sanitization.