Actions And Consequences
The profile-led discipline for agent-facing artifacts: one reader, one tension, one dream, one first action, and one consequence chain.
The profile-led discipline for agent-facing artifacts: one reader, one tension, one dream, one first action, and one consequence chain.
The agent-facing path from discovery to evaluation, call, payment, and receipt.
The canonical OKF-readable contract for Dreamineering agents: language, capability, evidence, receipts, services, and self-improvement loops.
The operating model for Dreamineering agents: shared language, declared capability, scoped authority, receipts, and visible consequences.
Four constraints govern every AI agent system design decision — ontology, epistemology, taxonomy, and axiology. Remove one and the system drifts in a predictable direction.
Reusable concept note for Business Logic Document.
Reusable concept note for Context Architecture.
The canonical human-readable language for Dreamineering agents, instruments, receipts, loops, and decisions.
Start with what you deeply want, choose a worthy challenge, and use playful practice and proof to turn desire into greater human agency.
The DML and A&ID notation layer that compresses Dreamineering agent language for machine-readable coordination.
Why public WHAT/WHY education and private HOW/WHEN operating controls create more value together than either can alone.
Knowledge-base standards for names, documentation writing, and Open Knowledge Format alignment.
Reusable concept note for Knowledge Base Software.
Map unfamiliar domains through a known anchor, then govern the schema with reality, evidence, structure, naming, value, agents, flow, controls, representation, and level.
The language hub for mapping domain vocabulary, data definitions, symbolic notation, and cultural fluency before acting in a domain.
The binding layer between DDL terms, DML codes, A&ID symbols, semantic layers, and agent operating use.
The agent-facing model for separating MCP reality, desired tool posture, classification, and human-owned remediation.
Repeatable action guide for Research.
The five non-averaged gates that let an unfamiliar recipient understand, apply, adapt, prove, and improve a significant Playbook artifact.