Human-on-the-Loop
Definition
An operational model where humans do not manually approve every agent action (Human-in-the-Loop), but instead define the overarching boundaries, policy rules, and constraints within which the agent operates autonomously.
Why It Matters
Human-in-the-loop destroys AI ROI because it bottlenecks execution speed to human reading comprehension times (the "Verification Penalty"). Human-on-the-loop is the only scalable way to manage agents, shifting the human's role from micromanager to policy architect.
How Exogram Addresses This
Exogram is the technical enforcement mechanism that makes Human-on-the-loop possible. Humans write the deterministic Exogram policy rules once (the boundaries). The AI then operates completely autonomously at machine speed, and Exogram ensures the agent never crosses the human-defined parameters.
Is Human on the Loop vulnerable to execution drift?
Run a static analysis on your LLM pipeline below.
Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees