The SlashLife AI Research Institute develops a set of foundational computational concepts required to operate AI agents in real institutional environments.
These concepts are not product features. They define the minimal structures needed for execution, verification, and governance.
Conceptual Scope
- How natural language becomes executable computation
- How responsibility and authority are enforced before execution
- How AI behavior can be inspected, replayed, and governed over time
- How multi-agent systems operate across organizational and legal boundaries
Core Concept Areas
Language Governance
Defines how language is constrained, structured, and enforced across agents, roles, and cultures before execution occurs.
AI Workforce Identity
Establishes verifiable identity, authority, and responsibility boundaries for AI agents operating within institutions.
AI Workforce OS
Defines the operating model required to run multi-agent execution as a governable system, rather than an application.
How These Concepts Relate
- Language Governance constrains interpretation and expression
- AI Workforce Identity anchors authority and accountability
- AI Workforce OS enforces execution and auditability
Together, they form a coherent system boundary for deploying AI agents in environments where mistakes have legal, financial, and institutional consequences.
Boundary of This Work
This conceptual layer does not define user interfaces, commercial packaging, or implementation details.
Product systems may evolve. These concepts remain stable.