Have you ever told an AI 'never do this' and watched it do it anyway?

Short summary

Prompt-based safety rules in AI agents are aspirational—models can be argued into breaking them. Structural safety checks that run independently, querying real data before approving actions, are deterministic and can't be bypassed. Testing shows this architectural separation prevents failures even when the main agent is manipulated.

• •Prompt rules depend on the model staying focused; they're a single point of failure pretending to be many
• •Structural checks run separately from the agent, using their own lookups against real data
• •The agent can be argued into anything, but the check still blocks bad outputs deterministically

Generated with AI, which can make mistakes.