LASO(f): The Language Constitution for AI
Govern what AI says. LASO(f) enforces linguistic precision, compliance integrity, and structural alignment across AI-generated and legacy text.
Explore LASO(f)What Is LASO(f)-AG?
LASO(f)-AG extends the LASO(f) framework into the realm of AI-initiated behavior.
Where LASO(f) governs language, LASO(f)-AG governs decisions—evaluating whether AI actions meet organizational, ethical, or regulatory expectations before they take place.
It serves as a gatekeeper between AI intent and real-world execution.
🎯 Why It Matters
As AI systems evolve from conversational agents to autonomous decision-makers, the risks shift from misstatements to missteps.
Whether it's submitting a record, sending a command, or triggering a process—LASO(f)-AG ensures actions are screened, validated, and aligned with human oversight before execution.
In regulated domains, it prevents liability. In emerging AI systems, it defines trust.
Toward Superintelligence, Safely
LASO(f)-AG is not just a tool for enterprise AI.
It represents a core architectural approach for governing intent and behavior in increasingly capable systems.
As AI approaches autonomy at scale, deterministic action validation becomes essential for safe alignment—not as a theory, but as enforceable infrastructure.
LASO(f)-AG is designed to operate at that frontier.
Use Cases
- Autonomous Systems — Validate decisions before physical or digital actions occur
- Enterprise AI Agents — Prevent unauthorized tasks in high-trust environments
- Compliance Automation — Enforce domain-specific rules in regulated pipelines
- AI Alignment R&D — Model corrigibility and behavioral containment in powerful models
The LASO(f) Governance Stack
LASO(f)-AG: Deterministic Action Validation
Govern what AI does. LASO(f)-AG applies tiered decision validation to AI-initiated actions—blocking, modifying, or approving them based on policy alignment.
Coming SoonPatent Pending
The LASO(f)-AG system is protected under U.S. provisional patent application, reflecting FERZ's original approach to deterministic behavioral governance.