Stopping the quiet drift toward excessive agency with re-permissioning

In their infancy, LLM models were not difficult to contain. You gave a prompt; they responded, and if something was wrong it was usually “just text.” This could take the form of a summary that missed the best bits, a tone-deaf line or a wordy sentence. But then, agents were co-opted as the core reasoning layer inside AI agents, and the game changed overnight.