The agent prompt is not the safety boundary
Summary
Discusses the limitations of using agent prompts as safety boundaries, arguing that prompts alone are insufficient to ensure safe AI behavior.
Similar Articles
Stop trying to prompt your way to agent safety. It's an access-control problem
The article argues that AI agent safety should be addressed as an access-control problem, recommending practices like least privilege, allow-lists, and approval gates to prevent unintended actions.
A prompt is a request, not a permission. That's why your agent is still in pilot.
An analysis arguing that prompt-level guardrails fail because they rely on the model policing itself, and that safety checks must live at the tool boundary with durable audit records for accountability. Highlights why agent pilots stall due to unclear ownership rather than accuracy issues.
Agents need control flow, not more prompts
The article argues that reliable AI agents require deterministic control flow and programmatic verification in software, rather than relying solely on complex prompt chains.
How I Think About Prompting AI Agents Across the Entire Prompt Hierarchy
The author shares principles for writing effective prompts for AI agents, emphasizing focusing on what truly matters, high-signal communication, actionable instructions, and using established phrasing.
AI safety is arguing about the wrong boundary
This article argues that the AI safety debate is misdirected, focusing on model alignment and internal controls instead of the critical boundary: external admission authority over agent execution. It warns that systems capable of self-authorizing high-impact actions (e.g., deploying code, moving money) pose a fundamental risk that logging and monitoring cannot mitigate.