The current generation of AI agents rests on a dangerous assumption:
If the model behaves correctly, the system behaves correctly.
This assumption has shaped nearly every modern agent architecture. Today, AI systems can execute shell commands, modify files, access private APIs, and operate cloud infrastructure—yet in most implementations, the final execution authority still originates from the LLM's "judgment."
This is equivalent to giving root access to a process that can be socially engineered through plain text. No traditional infrastructure system would accept this design.
LLMs Are Not Trustworthy Execution Engines
