How can I make AI Agents more reliable and restrict the actions they can take?

A study indicates that the most successful intelligent agents rely on simple, configurable patterns rather than complex frameworks. However, even simple agents can encounter issues related to misinformation or distorted data. These failures can be significantly mitigated by implementing multiple controls, addressing the common question of how to restrict the actions of intelligent agents without sacrificing their utility. Key controls include model selection, claim structure, output formatting, tool design, and workflow logic.