Why AI Agents Need Database Triggers, Not Just Prompts

An engineer argues that AI agents should use database triggers rather than prompts to handle fact changes, automatically closing temporal boundaries on superseded data to maintain state coherence.

Why AI Agents Need Database Triggers, Not Just Prompts When a fact changes, prompting the LLM to 'forget' it is unreliable. Instead, use database triggers to automatically close temporal boundaries valid to = NOW on superseded facts. Let the DB handle state coherence.