Agents Need Feedback Loops, Not Perfect Prompts

Relying on perfect prompts for AI agents is insufficient for tasks requiring judgment, as the ideal prompt changes over time. A better approach is to create systems where agents can continuously learn from team feedback after they are deployed. The author details building an agent called "Buzz" to handle social media mentions, which initially struggled with a brittle, rule-based prompt. The solution was to shift from specific rules to teaching the agent core principles, enabling it to learn from human feedback and improve its judgment over time.