In a deployed agent system, prompts and policies evolve frequently. How would you version and safely roll out prompt changes? How would you design rollback mechanisms if a new prompt causes regressions?

If an agent can take real-world actions (e.g., execute code, send emails, trigger workflows), how do you enforce safe behavior in production?

AI agents often rely on external tools/APIs. How would you design a system that ensures robustness when these dependencies are unreliable or slow?

If you give an agent a SQL_Write tool, how do you prevent it from accidentally executing a DROP TABLE command?